12 evolutionary-algorithm-"LIST" Postdoctoral research jobs at Technical University of Munich
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[map ] Subject Area: Applied and Numerical Analysis Appl Deadline: 2025/09/15 11:59PM (posted 2025/08/05, listed until 2025/12/31) Position Description: Apply Position Description Doctoral and
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machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning algorithms, and
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algorithmic algebra. For more information about the TUM Department of Mathematics, please visit our website: https://www.math.cit.tum.de/en/math/home/. The position is a full-time position (100%), initially
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research studies for automated image analysis. In particular, you will: Plan, develop, and implement AI/ML algorithms for pathology image analysis. Integrate multi-modal data (e.g., genomics, clinical data
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methods, machine learning algorithms, and prototypical systems controlling complex energy systems like buildings, electricity distribution grids and thermal systems for a sustainable future. These systems
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subject “Postdoc Application – [First and last name].” In your email, please include a short motivation letter less than 1 page, your CV including list of publications, a reference letter from your PhD
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Distinguished PostDoc in the subject line: - CV (no photo), along with a list of the applicant's publications and presentations - A brief research statement outlining the proposed project (authored by
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MesaPD to solve complex multiphysics problems. The coupling is done across package boundaries. This also requires more sophisticated approaches in load-balancing. Finally, the newly developed algorithms
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this interdisciplinary project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures
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cover letter, a CV containing a complete list of publications, a brief statement of research experiences, the addresses of two possible referees, directly by email to christina.zielinski@leibniz-hki.de