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Field
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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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Computer Science, Data Analysis, Software Engineering, Physics, Mathematics or related disciplines with a strong academic record. Strong programming skills, preferably in Python, and experience developing non
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activity of individual neurons and mesoscopic population signals. His team develops open software for analysis and data management that forms the technical basis of the proposed project. The PhD candidate
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, energy systems, computational engineering, or a related field Strong background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power systems, gas
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, high-performance computing, and quantum computing Strong background in mathematics, optimization, numerical methods, or scientific computing Excellent programming skills (e.g., Python, C/C++, Julia
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+. Areas of expertise include: Geometry and topology Algebraic geometry and number theory Stochastics and mathematical finance Discrete mathematics and optimisation Discrete geometry Numerical mathematics
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Theory and Logic B - Analysis and Differential Equations C - Discrete Mathematics D - Geometry and Topology E - Numerical Mathematics and Scientific Computing F - Stochastics International elements
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mathematics, biomedical modelling and analysis of complex networks. Joint data science projects between the different partners are further developed in different areas, which open up numerous opportunities
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with a strong emphasis on imaging. PhD projects range from the analysis of basic cellular processes to clinical translation, from the generation of mathematical models to the development of new imaging
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instruments, data analysis as well as theoretical and numerical modelling provide excellent research opportunities for PhD students. Solar system science research subjects include cosmochemistry, small bodies