retrieve:
Return the details about the given Event id.

list:
List all Event objects.

GET /api/v1/events/?format=api&offset=50&ordering=event__category
HTTP 200 OK
Allow: GET, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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            "title": "Persona Formation in LLMs: Pretraining Origins, Alignment Persistence, and Safety Implications",
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            "end_date": "2026-06-08",
            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Martin Jaggi<br>\r\nThesis advisor: Prof. Bob West<br>\r\nCo-examiner: Prof. Antoine Bosselut<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ul>\r\n\t<li>\r\n\t<ul>\r\n\t\t<li>Safety Pretraining: Toward the Next Generation of Safe AI<br>\r\n\t\t(<a href=\"https://arxiv.org/abs/2504.16980\">https://arxiv.org/abs/2504.16980</a>)</li>\r\n\t\t<li>Persona Vectors: Monitoring and Controlling Character Traits in Language Models (<a href=\"https://arxiv.org/abs/2507.21509\">https://arxiv.org/abs/2507.21509</a>)</li>\r\n\t\t<li>The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models (<a href=\"https://arxiv.org/abs/2601.10387v1\">https://arxiv.org/abs/2601.10387v1</a>)</li>\r\n\t</ul>\r\n\t</li>\r\n</ul>",
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            "creation_date": "2026-04-17T13:31:08",
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            "speaker": "Viktor Moskvoretskii",
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            "id": 71650,
            "title": "Approximation Complexity of QMA-hard Optimization Problems",
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            "start_date": "2026-06-16",
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            "start_time": "16:00:00",
            "end_time": "18:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Nicolas Macris<br>\r\nThesis advisor: Prof. Thomas Vidick<br>\r\nCo-examiner: Prof. Yihui Quek<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ul>\r\n\t<li>Relations between average case complexity and approximation complexity (<a href=\"https://dl.acm.org/doi/abs/10.1145/509907.509985\">https://dl.acm.org/doi/abs/10.1145/509907.509985</a>)</li>\r\n\t<li>Efficient algorithm for a quantum analogue of 2-SAT (<a href=\"https://arxiv.org/abs/quant-ph/0602108\">https://arxiv.org/abs/quant-ph/0602108</a>) </li>\r\n\t<li>An Approximation Algorithm for the MAX-2-Local Hamiltonian Problem (<a href=\"https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2020.59\">https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2020.59</a>)</li>\r\n</ul>",
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            "speaker": "Petra Arabadjieva ",
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            "id": 71670,
            "title": "EPFL Racing Team - Event",
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            "end_time": "23:00:00",
            "description": "<p>EPFL racing team will provide an update on the main achievments of this year </p>",
            "image_description": "",
            "creation_date": "2026-04-22T11:10:32",
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            "id": 71697,
            "title": "ENAC Research Day 2026",
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            "lang": "en",
            "start_date": "2026-06-11",
            "end_date": "2026-06-11",
            "start_time": "14:00:00",
            "end_time": "18:00:00",
            "description": "<p>Join us for this year’s Research Day, featuring four inspiring keynote speakers and ENAC young researchers presenting their latest projects during a lively poster session.<br>\r\n<br>\r\n<strong>Programm</strong>\r\n</p><div>\r\n<div>\r\n<ul>\r\n\t<li>2:00 PM: <strong>Prof. Katrin Beyer, Dean</strong><br>\r\n\tIntroduction and Welcome<br>\r\n\t </li>\r\n\t<li>2:10 PM: <strong>Keynote Lectures</strong><br>\r\n\t </li>\r\n\t<li>3:10 PM:  <strong>Posters Grand Prix </strong>(IA, IIC, IIE)<br>\r\n\tPresented by jury members<br>\r\n\t </li>\r\n\t<li>3:30-4:30 PM: <strong>Session posters et discussions</strong><br>\r\n\tCoffee break<br>\r\n\t </li>\r\n\t<li>4:30 PM: <strong>Keynote Lectures</strong><br>\r\n\t </li>\r\n\t<li>5:45 PM: <strong>Prof. Katrin Beyer, Dean</strong><br>\r\n\tClosing note of ENAC Research Day</li>\r\n</ul>\r\n<strong>Apero !</strong></div>\r\n</div>",
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            "last_modification_date": "2026-04-24T11:27:47",
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            "id": 71707,
            "title": "QSE Center Spring Assembly",
            "slug": "qse-center-spring-assembly",
            "event_url": "https://memento.epfl.ch/event/qse-center-spring-assembly",
            "visual_url": "https://memento.epfl.ch/image/33033/200x112.jpg",
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            "lang": "en",
            "start_date": "2026-05-29",
            "end_date": "2026-05-29",
            "start_time": "14:00:00",
            "end_time": "16:00:00",
            "description": "<p>The QSE Center Spring Assembly will take place on Friday May 29, 2026, from 14h-16h in CM 1 105. This event is an opportunity to bring the EPFL quantum community together and to share the breadth of our activities and collaborations.<br>\r\n <br>\r\n<strong>14h00-15h00: Flash talks</strong> – Eleven 5-minute talks will be given by a range of different QSE Center stakeholders including students, researchers, and internal and external collaborators.\r\n</p><ol>\r\n\t<li>Prof. Paul Dyson - The role of Centers at EPFL's Schools</li>\r\n\t<li>Dr. Anu Unnikrishnan - Quantum Centers’ collaborations within Switzerland and beyond</li>\r\n\t<li>Andrew Sutcliffe - Quantum education at EPFL</li>\r\n\t<li>Kate Pankovets - Quantum education at EPFL</li>\r\n\t<li>Gaia Stella Bolognini - Quantum outreach and scientific networking</li>\r\n\t<li>Dr. Aurelien Fabre – QSE Postdoctoral Fellowships</li>\r\n\t<li>Dr. Nahid Hosseini - QSE Innovation Seed Grant and innovating technologies in quantum</li>\r\n\t<li>Dr. Simone Frasca - Quantum Innogrant and start-up creation in the quantum domain</li>\r\n\t<li>Dr. Jonathan Conrad - Quantum science and technologies at the IC School</li>\r\n\t<li>Florian Micco / Dr. Katharina Füglister - International Affairs collaborations and activities</li>\r\n\t<li>Dr. Julian Jang-Jaccard - Armasuisse funding opportunities and collaborations</li>\r\n</ol>\r\n<strong>15h00-16h00: Poster session and coffee – </strong>A poster session showcasing quantum research at EPFL, accompanied by coffee and snacks. If you would like to present a poster, please let us know on the<a href=\"https://forms.gle/96ZXaHjD8w8nnHVy9\"> </a><a contenteditable=\"false\" href=\"https://forms.gle/LbdB5GhRjiNswMq59\" title=\"https://forms.gle/LbdB5GhRjiNswMq59\">registration form</a><a href=\"https://forms.gle/96ZXaHjD8w8nnHVy9\">.</a> Previously presented posters are welcome<strong>.</strong><br>\r\n <br>\r\nPlease<a href=\"https://forms.gle/96ZXaHjD8w8nnHVy9\"> </a><strong><a contenteditable=\"false\" href=\"https://forms.gle/LbdB5GhRjiNswMq59\" title=\"https://forms.gle/LbdB5GhRjiNswMq59\">register here</a></strong><a href=\"https://forms.gle/96ZXaHjD8w8nnHVy9\"> </a>for the event by <strong>May 26, 2026. </strong>Even if you can only come for part of the time, we still welcome you to attend.",
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            "id": 71746,
            "title": "Control Policy and Shape Co-Design",
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            "start_date": "2026-06-15",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Mark Pauly<br>\r\nThesis advisor: Prof. Pascal Fua<br>\r\nCo-examiner: Prof. Colin Jones<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u>\r\n<ul>\r\n\t<li><em>Developing a Co-Design Framework for Hypersonic Vehicle Aerodynamics and Trajectory </em><a href=\"https://arc.aiaa.org/doi/10.2514/6.2024-0238\" title=\"https://arc.aiaa.org/doi/10.2514/6.2024-0238\">[link]</a></li>\r\n\t<li><em>Co-Design Optimisation of Morphing Topology and Control of Winged Drones </em><a href=\"https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10611506\" title=\"https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10611506\">[link]</a></li>\r\n\t<li><em>Synthesis of Model Predictive Control and Reinforcement Learning: Survey and Classification </em><a href=\"https://pdf.sciencedirectassets.com/271897/1-s2.0-S1367578825X00031/1-s2.0-S1367578826000015/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjED8aCXVzLWVhc3QtMSJGMEQCIGWdZsRooNaRSE9Jvm42gFGma19EDUmA%2F6qh9vRVW79eAiBVOd6jClS4f9hZhP74JWxrBGX3h6wFijICbZSAIAGQRiqyBQgHEAUaDDA1OTAwMzU0Njg2NSIM%2F2qu0CW5XnqjqmccKo8Fayr5Tlv%2BM%2FslOsihSWoNqXNS8Pgnao%2FdAGPJo2VJcHgcd9rpFY8Bc3Sp%2FEMv3tklkQCEoAQN%2FKyZ4wzymNg%2Fh11UG9YphufDs3wh19sV5ZjoMolctx4w9%2BQunLXlmS2cd2G83Le2hXhCMgWwI1Vxo9j5TfP9ChdPn5OvaCfNFDG1jhuhFWpD7lOs%2F1oaVoSVof4iPSEFs8nh7mUSFeNZizYkGDGdg4qjQB49x8TPzCPhiguiYxjXYyUjDZReKclPXS8mHy4PrHBk5y1%2F371DbHLKPLa3NhYSpkhIH7EEyWhiTWwXY8S5vRWX%2F619m7LyFisF61Ojks6SxmFdZQCKJ4OX0vR45zRbJIcodzFWDSZR65HdAXWbOuXj9IpQED5EpC0Uw4ehRobahFmdwwPskJ8qPTJg8Uj2sQI2onqy5%2F9o86fk87qgZrHrfKezmNoG5dzpz7bd%2FIq26xJ94RDpsgntiimjhQABdSVugnPAckZ7r9QvFiUJ3wrLV3JmhIbFzMJaG%2F0kf%2FmNf%2Btx3DB01VFYRk3E32j7qkmuDeYKaIYyDRmsrMwUhoow3KbntpsK7x9Lr9CYijUIUMYftG7HFuzoWOUyB2rIxuQQtkEF9POY%2Btl5VQcA3nIJ2OIsCuaGyUYhRczKz66e9TUU1LVQGk4MuXeu5QQiMghj%2FuWRZr9Jtkz44eJsrdVhdyeggsOy7vj3ipLR3t5b%2F0YJ1HUPzaYjrsAtQIPdeS%2FvjAJt2XsfZXOHM5cf2pvWw9sKM62dqnZkePmVm9IdpnH5kJc%2BbSsYtTlX0NvTtYduGzjn622WgKEMqg6QoKGHVH1opHOgRCXmjeW0s9bZ%2BA8X87GZRpY6uGX%2BvTKdabrIo3wi5zDx5MvPBjqyAXiQqZ%2FuLieJ5LH3JrfhIjOcsc2QDriCkds7r2G25UPv96CCMpPmgWYyWf6yp1YXBRMqWZjCrmb1IyiF1bTHe%2FojoM3%2Ft3ECJ4Jp9TBAscMvymXYDsuNw%2BHBbZEy8%2FkKdBl%2FzTk4Vo9s%2Bsv62VoZDmBtIOnhXzwTNdAe46xv1ay1A%2Ffq61jSf45%2BAS2ifn%2FCXIw%2Bt8nP%2FuiP4d6xN3zFLlWu%2B%2BPF7hQsXS5bGSbgpiZ5SV0%3D&amp;X-Amz-Algorithm=AWS4-HMAC-SHA256&amp;X-Amz-Date=20260430T071347Z&amp;X-Amz-SignedHeaders=host&amp;X-Amz-Expires=300&amp;X-Amz-Credential=ASIAQ3PHCVTY6G7L7JZ7%2F20260430%2Fus-east-1%2Fs3%2Faws4_request&amp;X-Amz-Signature=16b74f5ed082681d7b1166d729aac7886cc60232acd7e769ece224358496a9a2&amp;hash=b0e49fc41b616214d8d1147210f05c37d78da2a9936148b9faebbeb914e9b590&amp;host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&amp;pii=S1367578826000015&amp;tid=spdf-e5ddd93b-3eb0-4ff4-8c47-ebbcb2e2115a&amp;sid=4c9100ad4590a444994ad633e1000a43eccbgxrqb&amp;type=client&amp;tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&amp;ua=19075a0152510400085f&amp;rr=9f44bef12e9d3b5e&amp;cc=ch\" title=\"https://pdf.sciencedirectassets.com/271897/1-s2.0-S1367578825X00031/1-s2.0-S1367578826000015/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjED8aCXVzLWVhc3QtMSJGMEQCIGWdZsRooNaRSE9Jvm42gFGma19EDUmA%2F6qh9vRVW79eAiBVOd6jClS4f9hZhP74JWxrBGX3h6wFijICbZSAIAGQRi\">[link]</a></li>\r\n</ul>",
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            "speaker": "Daniele Affinita",
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            "id": 71747,
            "title": "Computational Design and Optimization for Physically Intelligent Systems",
            "slug": "computational-design-and-optimization-for-physical",
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            "start_date": "2026-05-29",
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            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Wenzel Jakob<br>\r\nThesis advisor: Prof. Mark Pauly<br>\r\nCo-examiner: Prof. Pascal Fua<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nPhysically intelligent systems exploit geometry, physics, material distribution, and structural coupling to generate useful behaviors. This thesis develops computational design and optimization methods for lightweight mechanical systems with complex geometries and rich deformation behavior. The central goal is to create a simulation-driven inverse design framework in which shape, material, and structural parameters are optimized together so that the resulting physical system achieves desired equilibrium configurations, alignment targets, and crucially functional mechanical responses. By combining differentiable mechanics, compact design parameterizations, robust equilibrium solving, instructive shape space and functional space analysis, and optimization, the work investigates how complex physical behavior can be encoded directly into the design process.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\n- <a aria-describedby=\"sk-tooltip-21545\" href=\"https://dl.acm.org/doi/pdf/10.1145/3072959.3073695\" target=\"_blank\">Computational Design and Automated Fabrication of Kirchhoff-Plateau Surfaces</a>: <a href=\"https://dl.acm.org/doi/pdf/10.1145/3072959.3073695\">https://dl.acm.org/doi/pdf/10.1145/3072959.3073695</a><br>\r\n- <a href=\"https://cdl.ethz.ch/publications/the-design-space-of-plane-elastic-curves/\" target=\"_blank\">The Design Space of Plane Elastic Curves</a>: <a href=\"https://cdl.ethz.ch/publications/the-design-space-of-plane-elastic-curves/\">https://cdl.ethz.ch/publications/the-design-space-of-plane-elastic-curves/</a><br>\r\n- <a href=\"https://cdl.ethz.ch/publications/procedural-metamaterials-a-unified-procedural-graph-for-metamaterial-design/\" target=\"_blank\">Procedural Metamaterials: A Unified Procedural Graph for Metamaterial Design</a>: <a href=\"https://cdl.ethz.ch/publications/procedural-metamaterials-a-unified-procedural-graph-for-metamaterial-design/\">https://cdl.ethz.ch/publications/procedural-metamaterials-a-unified-procedural-graph-for-metamaterial-design/</a>",
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            "link_url": "",
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            "cancel_reason": "",
            "place_and_room": "BC 329",
            "url_place_and_room": "https://plan.epfl.ch/?room==BC%20329",
            "url_online_room": "",
            "spoken_languages": [],
            "speaker": "Junyu Liu",
            "organizer": "",
            "contact": "[email protected]",
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        {
            "id": 71748,
            "title": "Reasoning Under Uncertainty: Trustworthy LLMs for High-Stakes Medicine",
            "slug": "reasoning-under-uncertainty-trustworthy-llms-for-h",
            "event_url": "https://memento.epfl.ch/event/reasoning-under-uncertainty-trustworthy-llms-for-h",
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            "start_date": "2026-06-26",
            "end_date": "2026-06-26",
            "start_time": "09:30:00",
            "end_time": "11:30:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Robert West<br>\r\nThesis advisor: Prof. Mary-Anne Hartley<br>\r\nCo-examiner: Prof. Martin Jaggi<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nCurrent machine learning systems are very good at tasks reducible to statistical pattern recognition but falter on problems requiring deliberate, structured inference. Clinical reasoning exemplifies the latter: physicians generate hypotheses abductively, revise beliefs probabilistically as evidence accumulates, and choose among actions whose costs are deeply asymmetric. The harm of a missed diagnosis is not the harm of an unnecessary test. Large language models, increasingly deployed for clinical decision support, inherit this limitation. They conflate knowledge with inference: the same parameters that store medical facts are asked to reason over them, which leaves no explicit mechanism to quantify uncertainty, to abstain when evidence is insufficient, or to weight outcomes by their true clinical costs. This work argues that progress toward trustworthy medical AI requires separating the representation of knowledge from the machinery of inference, and grounding the latter in formal frameworks drawn from statistical decision theory. We investigate how these frameworks can be embedded into LLM reasoning pipelines and imposed as external scaffolding around them, maintaining competing hypotheses, guiding evidence gathering, and selecting actions that reflect the asymmetric cost structure of clinical practice. The goal is a class of systems capable of reasoning over their uncertainty, systems that know when they do not know.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
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            "creation_date": "2026-04-29T09:21:38",
            "last_modification_date": "2026-04-29T09:21:38",
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            "place_and_room": "INF 326",
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            "spoken_languages": [],
            "speaker": "Yusuf Kesmen",
            "organizer": "",
            "contact": "[email protected]",
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            "theme": "",
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            "keywords": "EDIC candidacy exam",
            "file": null,
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        {
            "id": 71750,
            "title": "Efficiency Datalog Engine for Formal Research",
            "slug": "efficiency-datalog-engine-for-formal-research",
            "event_url": "https://memento.epfl.ch/event/efficiency-datalog-engine-for-formal-research",
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            "lang": "en",
            "start_date": "2026-06-17",
            "end_date": "2026-06-17",
            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. Martin Odersky<br>\r\nThesis advisor: Prof. Christoph Koch<br>\r\nCo-examiner: Prof. Viktor Kuncak<br>\r\n<br>\r\n<u>Abstract</u><br>\r\nDatalog engines are starting to show their potential in a wide range of data-intensive applications. This thesis will investigate techniques for developing a fast Datalog engines, specifically focusing on datalog program rewriting and cost-based optimization for recursive queries. Furthermore, I will explore how Datalog can be specialized for specific tasks, such as static program analysis.<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
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            "link_url": "",
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            "spoken_languages": [],
            "speaker": "Christian Fattebert",
            "organizer": "",
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            "keywords": "EDIC candidacy exam",
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        {
            "id": 71751,
            "title": "From Exploitation to Mitigation: Analyzing Memory Corruption Primitives to Harden the Linux Kernel",
            "slug": "from-exploitation-to-mitigation-analyzing-memory-c",
            "event_url": "https://memento.epfl.ch/event/from-exploitation-to-mitigation-analyzing-memory-c",
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            "start_date": "2026-06-23",
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            "start_time": "10:00:00",
            "end_time": "12:00:00",
            "description": "<u>EDIC candidacy exam</u><br>\r\nExam president: Prof. George Candea<br>\r\nThesis advisor: Prof. Mathias Payer<br>\r\nThesis co-advisor: Dr. Anil Kurmus<br>\r\nCo-examiner: Prof. Sanidhya Kashyap<br>\r\n<br>\r\n<u>Abstract</u><br>\r\ncoming soon<br>\r\n<br>\r\n<u>Selected papers</u><br>\r\ncoming soon",
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