Sort by
Refine Your Search
-
Country
-
Employer
- CISPA (Stuttgart)
- CNRS
- Duke University
- Nature Careers
- Norwegian Institute of International Affairs
- Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085)
- Technical University of Munich
- UNIVERSIDAD POLITECNICA DE MADRID
- University of A Coruña
- University of Cambridge
- University of Oxford
- University of Tübingen
- 2 more »
- « less
-
Field
-
: PID2022-138335NB-I00 Job title: Agentes quelatantes para una nueva generación de Radiofármacos - CHANGER Research line / Scientific-technical services: Diseño de fármacos para diagnóstico por imagen Grant
-
diseases, innovation in treatments, and public health research. Joining INSERM means joining an institute committed to professional parity and equality, diversity and support for its agents with disabilities
-
context, the recruited person will develop a technology for thermostabilizing RNA-based vaccines by encapsulation within a soluble hydrophilic matrix. - Prototyping the formulation system and studying its
-
Research Institute for Environmental and Occupational Health (IRSET - UMR_S INSERM 1085) | Rennes, Bretagne | France | about 2 months ago
in treatments, and public health research. Joining INSERM means joining an institute committed to professional parity and equality, diversity and support for its agents with disabilities, from
-
to reason about software (e.g., LLM agents for finding and fixing bugs)Static and dynamic program analysis (e.g., to infer specifications)Test input generation (e.g., to compare the behavior of old and new
-
), mathematical evolutionary modeling (game theory, dynamical systems, agent-based simulations or other), bespoke probabilistic modeling / (Bayesian) data analysis (e.g., in the Rational Speech Act framework
-
health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured
-
the development of components using agent-based modeling techniques, reinforcement learning, and other explainable artificial intelligence modules for decision-making, situation assessment, and operational support
-
Multiscale Immune Systems Modeling . This position focuses on the development, calibration, and analysis of multiscale agent-based models (ABMs) and differential equation models for Epstein–Barr Virus (EBV
-
the combined themes of human-computer interaction and critical computing. The lab will be exploring the notion of "deceptive by design" on all fronts: social identity cues in the design of LLM-based chatbots