54 parallel-computing-numerical-methods Postdoctoral positions at Technical University of Munich
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Methods, LBM), and HPC. For a selection of possible research areas, see: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/research/ Responsibilities: Development and analysis of new
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Informatics Initiative (MII)/FHIR standards Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation Independently develop and implement research ideas within
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. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing
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-making. Experience with computational modeling, especially dynamic models such as drift-diffusion modeling, and eye tracking is expected. Strong skills in experimental methods, quantitative analysis
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applying computer science methods within the context described above. In particular, you will coordinate the contributions of the professorship to the EU project INTELLIGENT (https://intelligent-project.eu
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Methods Reachability Analysis Computational Geometry Context The applicant will be directly advised by Prof. Matthias Althoff ( https://www.ce.cit.tum.de/cps/members/prof-dr-ing-matthias-althoff/ ). Besides
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18.09.2024,Β Academic staff We have several ππ‘π & ππ¨π¬πππ¨π π¨π©ππ§π’π§π π¬ in our Visual Computing & AI Lab in Munich! Topics have a strong focus on GenAI, including 3DGs, NeRFs, Diffusion
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: PhD in CS/ML/medical informatics, strong publication record, and hands-on experience with generative models in medical imaging. Postdoctoral Research Associate (f/m/d) EU Research Project TWIN-X Full
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, structural biology methods Expertise with computational workflows, scripting, or data analysis Excellent organizational, communication, and project management skills, ability to work interdisciplinary and
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Chair of Biological Imaging 10.02.2026,Β Academic staff We now seek a highly qualified and motivated Post-doctoral researcher (f/m/d) to drive the development of methods for optoacoustic data