27 Mathematics-"Academic-Europe-" scholarships at Technical University of Munich in germany
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of precision fermentation or cell culture - Affinity towards technical tasks and bioprocess control - Advantageous: Experience in mathematic modeling, programming, CAD, microfluidic or bioreactor systems
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21.06.2024, Wissenschaftliches Personal We are searching for two motivated researchers with a mathematics or informatics background (Masters degree). You will be working in the group of Prof. Felix
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for a period of two years and can be renewed for another two years. The successful candidate should have a Master's degree in computer science or mathematics. Since the position involves teaching
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for Knowledge-hungry Team Players … • with above-average university degrees • from the fields of business administration, economics, business informatics, industrial engineering, business mathematics, computer
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. The current focus is on developing algorithms and foundations for deep learning and foundation models, particularly for medical imaging and on establishing mathematical and empirical underpinnings for machine
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PDEs. To efficiently solve these mathematically challenging problems, new optimization approaches need to be developed. Tasks: Work in a team on a national collaborative research project, which deals
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Panny in the Department of Mathematics, within the TUM School of Computation, Information and Technology, located at the Garching campus. The group was established in 2023 and primarily focuses
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Engineering, Mathematics, Statistics, or related fields. • Strong programming skills in Python, Java, C++, etc. • A solid foundation in generative AI, machine learning, and related areas. • An Interest in eye
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Python) M.Sc. in Computer Science, Physics or Mathematics or a similar subject area We encourage you to apply even if your profile does not meet all of the requirements for the role yet. Your profile is
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productivity, driver shortages, safety, and environmental friendliness. A major obstacle towards this promising future is to guarantee in a mathematically provable way that the automated system always works