98 web-programmer-developer-"LIST"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich in Germany
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Scientist/Steward or Software Developer (f/m/d) to facilitate the development of ProteomicsDB with a good background in bioinformatics, data visualization, big data analytics at best in the context of mass
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reinforcement learning methods can be used to solve multiobjective discrete and combinatorial optimization problems. The goal is to develop new algorithmic approaches that combine ideas from machine learning
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22.01.2026, Academic staff This PhD position focuses on developing resilient ISAC architectures. This project aims to implement, test, and demonstrate resilience strategies that enhance ISAC system
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(PD Dr. Keno Bressem) Your Responsibilities • Development and implementation of generative AI models (in particular diffusion models and variational approaches) for creating explainable patient
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and cytokines. Leveraging these insights, we develop next generation precision immunotherapeutics. THE PROJECT: Interleukins are key regulators of infection and tolerance. In our lab, we have a
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23.01.2026, Academic staff The Chair of Structural Analysis is seeking a highly motivated research associate (m/f/d) for our research project focused on developing methodologies for high fidelity
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) to work on the development of an Amazonian Early Warning System (AmEWS) integrating Earth Observation data, process-based ecosystem models, and advanced machine learning approaches. The position is embedded
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dynamic team. As part of the newly funded ERC Synergy consortium EPIC, you will develop scalable and robust software to train and apply AI models for regulatory genomics. About us The Chair of Computational
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02.12.2025, Wissenschaftliches Personal As of now, we are looking to extend our team with a full-time Postdoc Position: Kinetic Mechanism Development of Low-GWP Fluorinated Refrigerants (m/f/d), TV
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Analysis of Electronic Structure Methods for Molecules and Materials. About the PhD Project: The goal of the project is the development of a posteriori error estimates for state-of-the-art numerical methods