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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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onwards: Scientific Researcher (m/f/d) E13 TV-L - Novel mathematical approaches for inverse modeling to determine greenhouse gas emissions. The position is initially limited to two years with
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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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with mathematical modeling and machine learning methods will ultimately allow us to predict the entire recognition space for any given TCR sequence. Our work is embedded into close collaborations with
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abilities into the long-term development of the professorship. Ideally, you are already knowledge-able in the fields of life cycle assessment, simulation, mathematical optimization, and / or material flow
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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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qualifications and requirements university degree (Diploma/Master) in electrical or electronic engineering, telecommunications engineering, computer science, physics, mathematics, or equivalent strong programming
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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