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and Data Science (MIDS) at the KU Eichstätt-Ingolstadt. The research group works at the intersection of analysis, modeling and simulation. The advertised position is partly funded by the German Research
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experimental ecologists to ensure your models are biologically grounded. Write and publish scientific papers, culminating in your PhD thesis. The team You will be based in the Root Ecology team led by Prof. Dr
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new paradigm in the validation of autonomous driving software, focusing on the intersection of Large Language Models (LLMs) and Autonomy 2.0 / End-to-End (E2E) approaches. While E2E models promise
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-equilibrium conditions. The project is a UKRI/NSF collaboration with Virginia Tech, and the use of direct numerical simulation, modelling and analysis will be complemented with experimental data from
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of turbulent combustion models. Particular attention will be given to providing a well-characterized experimental reference case for numerical simulation and model benchmarking. The primary host institution is
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, an agent-based physiological 3D model of mitochondria based on the seminal work of Prof. Skupin (https://www.nature.com/articles/s41598-019-54159-1 ) will be extended and embedded into a continuous
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of modelling available within the group. To strengthen the mathematical backbone of your work, you will collaborate intensively with: Prof. Remco van der Hofstad (Eindhoven University of Technology, expert in
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-the-shelf circuit simulator (for improved training accuracy) or high-fidelity surrogate model and sizes the circuits when provided with a set of requested performances; (2) the second part covers automatic
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Job Purpose The candidate will contribute to the work of the consortium *Policy Modelling for Health (HealthMod”, 2024-2028) and associated projects, *working with Dr. Andreas Hoehn, Prof. Petra
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landscapes, including our partners at the UK CEH. Eligible candidates must have a background in simulation modelling and a proven ability to communicate results. They should have obtained, or will soon obtain