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Max Planck Computing and Data Facility (MPCDF), Garching | Garching an der Alz, Bayern | Germany | 10 days ago
-diving into complex technical challenges and existing codebases Bonus points for Experience with agent-based AI workflows Knowledge of containerization technologies (e.g., Docker, Singularity, Apptainer
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-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
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, systems biology Proven expertise in: Mechanistic modelling (ODE / PDE), agent-based models Mathematical analysis of biological systems and networks AI / ML applications in modelling, simulation, and network
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), 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
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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
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also integrates innovative tools and data-driven and/or AI-based methods, such as agent-based modeling, machine learning or large language models, to explore human behavior in sustainability contexts and
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test vesicle-based delivery of therapeutic agents to the brain (Finnadvance, Finland) Where to apply E-mail menobrain@med.uni-jena.de Requirements Research FieldBiological sciencesEducation LevelMaster
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the Q methodology dataset build an agent-based modelling (ABM) in python or Netlogo visualize and interpret results; prepare a short report or presentation at the end Your qualifications: background in
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in the wild. The planned work involves optimizing IRL using agent-based simulations, applying IRL to empirical fish movement data to study reward functions in the context of adaptive strategies, and
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immune cells in cell culture and murine models of inflammation and cancer Collecting, analyzing and annotating MRI data Combining MRI and mass spectrometric imaging data in data base for quantitative MRI