70 assistant-professor-computer-science-and-data PhD positions at Technical University of Munich in Germany
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: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong knowledge in Machine/Deep Learning with experience in discriminative models
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or microfluidics and ideally in quantitative data analysis. As a theoretical candidate, you have knowledge in quantitative biology, soft matter/complex systems physics or statistical physics. You enjoy working in
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world. The workflow spans from analytical chemistry to material science and engineering. There is no need for previous knowledge in the described fields but a strong motivation to learn and push the boundaries of our
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of living systems, hence, catalyzing breakthroughs in biology, medicine, and the environment. Comprising 11 inter-disciplinary laboratories and scientists from more than 25 countries, CBI offers state
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interested in. The deadline for applications is March 31st, 2023. For further information, please contact: Prof. Dr.-Ing. Jakob Burger Laboratory of Chemical Process Engineering Tel. +49 9421 187 275 burger
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07.05.2022, Wissenschaftliches Personal The research group "Biomolecular Quantum sensing" at the Technical University of Munich and member of the Munich Center for Quantum Science and Technology
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. You hold a Master’s degree in physics or a similar field of study with a solid background in Josephson physics, microwave engineering, or quantum information processing. Application documents should
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matter physics, biomedical/material engineering or a related discipline. You have a strong background in data analysis and image processing. You enjoy working in interdisciplinary and international teams
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or comparable degree in physics, biology, bioengineering, material engineering or a related discipline. You have experimental experience in cell/tissue culture, microfluidics, or a related discipline. You enjoy
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within the vents? You will grow two-dimensional hydrothermal vents on a microfluidic chip and quantify the vent geometry from your data. You will assess how geochemical mineral composition and inflow rate