CRI Technology Impact Award

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Event details

Date 15.11.2021  
Category Call for proposal
Event Language English
Aim:
Provide seed funding to address the gap between technology development and clinical application of cancer immunotherapies. 
Encourage collaboration between technology developers and clinical cancer immunologists and to generate the proof-of-principle of a novel platform technology in bioinformatics, ex vivo or in silico modeling systems, immunological or tumor profiling instrumentation, methods, reagents and assays, or other relevant technologies that can enable clinicial scientists to generate deeper insights into the mechanisms of action of effective or ineffective cancer immunotherapies.
Technologies covered under this call may include but are not limited to:
  • New bioinformatics methods or technologies that speed collection and analysis of large sets of patient-derived biological data
  • Computer simulations for modeling biological systems and responses to immunotherapy
  • Tools and methods that improve profiling of tumors to inform therapeutic strategies
  • Real-time visualizations of molecular and cellular activity to improve tracking of responses to immunotherapy
  • In vitro tissue culture systems that recapitulate the interactions between primary tumor cells and the immune system
Deadlines:
LOI:  15 November 021
Full applications:  15 March 2022

Amount:
$200,000 over 2 years

Eligibility:
Faculty appointment as a tenure-track assistant professor (or higher rank) at the time of award activation.

How to Apply:
  • Review the Technology Impact Award website / Letters of Intent Instructions
  • Click on the relevant Create Account & Apply or Login to Portal button at the bottom of the web page
Important Information:
  • Please contact the Research Office for questions or concerns
  • Once proposal is submitted register it in EPFL's GrantsDB

Practical information

  • Informed public
  • Free

Organizer

  • The Research Office

Tags

cancer immunotherapies immunological profiling instrumentation tumor profiling

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