112 Computer-Science-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich in Germany
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the possibility of extension, depending on performance and project needs. Qualifications • For Doctoral Candidates: Master’s degree in Computer Science or Mathematics. • For Postdoctoral Researchers: Ph.D. in
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project’s transdisciplinary team and develop their own individual research in the broad frameworks of (urban) political ecology, convivial conservation, and marine social science, with commitment to fieldwork
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Informatics. You are passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research environment? Then let’s
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protein engineering to develop agents based on our research into their photophysical properties and structure-function relationship. Finally, we are driving the development of specialized screening
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candidates hold a Master’s degree in Informatics, Mathematics, or a related field, and possess strong expertise in linear algebra, GPU architectures, and programming in C++ and Python. This is a 100% TVL E13
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to support com-putational thinking and computational problem-solving across the Earth sciences at a large scale. Project description In this position, you will contribute to a pioneering research project that
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visionary doctoral program with high socio-economic relevance on the topic of “The Proteomes that Feed the World” with the aims to train and develop future leaders in science who excel in research, management
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plasma physics (XGC, IPPL). Expected qualifications: A Master's degree in Computer Science or Applied Mathematics. Necessary knowledge: Modern C++, GPU computing with CUDA/SYCL, MPI, Krylov solvers
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21.05.2026, Academic staff This PhD project, which is part of the Elite Network Bavaria-funded graduate college “The Proteomes that Feed the World” at the TUM School of Life Sciences, focuses
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Profile: • PhD in chemistry, materials science, chemical engineering, mechanical engineering or a related discipline • Strong experimental and/or computational background in laboratory automation, robotics