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University of Munich is required. Salary and benefits are in accordance with the German public sector scale, TV-L E13. - Your Profile 1. Strong mathematical background (e.g., linear algebra, optimization
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learning, safety-critical control, probabilistic modeling, verification, or optimization; Excellent communication skills in English and the ability to work both independently and collaboratively in
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ranges. β’ Design and optimize HSI data-processing workflows, including spectral calibration, preprocessing, classification, and mapping. β’ Integrate HSI with complementary spectroscopic techniques (Macro
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of workflows in Python to optimize throughput, reproducibility, and data management. The overarching goal is to create a standardized and scalable platform that accel-erates discovery in stem cell biology and
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Computer Science or Mathematics, ideally with a background in one or more of the following areas: Optimization, Game Theory, Machine Learning Applicants must demonstrate: β’ An excellent academic record, including
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18.09.2024,Β Academic staff We have several ππ‘π & ππ¨π¬πππ¨π π¨π©ππ§π’π§π π¬ in our Visual Computing & AI Lab in Munich! Topics have a strong focus on GenAI, including 3DGs, NeRFs, Diffusion
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of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization methods, machine learning
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problems or machine learning more broadly. We are looking for candidates with strong mathematical skills and interests. A requirement for the position is a masterβs degree in electrical engineering, computer
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into mobility and energy systems. We improve the efficiency, sustainability and economics of electric vehicles by optimizing and accelerating the integration of components up to complex mobility systems through