Sort by
Refine Your Search
-
mathematical modelling and simulation. Partial differential equations will be applied to model drug distribution and partitioning in multiphase systems using the drug’s partition coefficient as a driving force
-
position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and reinforcement
-
the Center for Pharmaceutical Data Science Education (CPDSE) and will be conducted under the supervision of Associate Professor Casper Steinmann . The project concerns physics-based computational modeling
-
Research Assistant (m/f/d) with a Ph.D. in Civil Engineering, Engineering Physics, Physics, Mathemat
To strengthen our team in the division 7.7 “Modeling and Simulation” in Berlin-Steglitz, starting 01.07.2026, we are looking for a Research Assistant (m/f/d) with a Ph.D. in Civil Engineering
-
– Adaptive & Agentic AI. The PhD project focuses on developing robust and reliable machine learning systems that can adapt at test time under real-world distribution shifts. Modern foundation models (e.g
-
contribute? · Contribute to ESRIC’s research on the development of technology for lunar and Martian regolith handling and beneficiation. · Develop and apply modelling and simulation approaches
-
-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model experimentation and training. Science of
-
(doctoral researcher) to enhance our research group. The candidate will contribute to the numerical modelling, the analysis, and the interpretation of marine biogeochemistry model simulations based on NEMO
-
to correct or account for these biases, and build predictive models that simulate biological responses to in silico perturbations such as genetic or pharmacological interventions. The project aims to advance
-
modelling workflow, linking micro-scale 3D finite element simulations and numerical homogenisation of metamaterial unit cells to meso-/macro-scale structural models capable of delivering accurate stress