Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- DAAD
- Nature Careers
- CISPA (Stuttgart)
- CISPA Helmholtz Center for Information Security
- Forschungszentrum Jülich
- GFZ Helmholtz Centre for Geosciences
- Hannover Medical School •
- Max Planck Institute for Sustainable Materials •
- Technical University of Munich
- Uni Tuebingen
- University of Bremen •
- University of Tübingen
- 2 more »
- « less
-
Field
-
-motivation and interest to learn new skills Great to have: Experience programming in Python, Julia, or C/C++ Experience with Mathematica Experience with finite element methods, agent-based simulations, and/or
-
CISPA Helmholtz Center for Information Security | Stuttgart, Baden W rttemberg | Germany | 2 days ago
, efficient, and secure software. General areas of research include: Artificial intelligence to reason about software (e.g., LLM agents for finding and fixing bugs) Static and dynamic program analysis (e.g
-
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
-
potential projects: Development of modern auto-differentiation (JAX-based) physics simulators for the discovery of new physics experiments) Developing, benchmarking and advancing state-of-the-art AI-driven
-
), 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
-
Project The PhD project DC7 aims to develop and apply a coupled Agent-Based Model (ABM) and couple it to the Regional Flood Model (RFM) to evaluate the effect of adaptive behaviour of small and medium-sized
-
– Multiscale imaging of organ-specific inflammation” and aims to develop and apply a quantitative MRI approach, by establishing a data base of simulated and experimental MR data of tissue and single cells
-
) develop participatory planning methods based on the technical outcomes from the digital twin to create future scenarios for responsible mobility that are technically well-grounded and at the same time
-
relevance. Your Tasks Antibody–Drug Conjugates (ADCs) are a rapidly advancing class of cancer therapeutics that combine the specificity of monoclonal antibodies with the potency of cytotoxic agents. Upon
-
Your Job: Develop AI pipelines that translate -omic signatures into dynamic model parameters Implement reinforcement-learning agents that optimise model performance Collaborate closely with