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national grants. You will plan, design, and manufacture our sensor to be used in clinical trials, work on data acquisition and data analysis. The results of your work will not only accelerate your scientific
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: You will study the effects of privacy-preserving machine learning on memorisation, fairness, interpretability and model uncertainty utilising techniques from information theory and quantitative
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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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12.10.2021, Wissenschaftliches Personal The TUM Professorship for Data Science in Earth Obervation is seeking a full-time PhD candidate on the topic of “Multi-scale Semantic Understanding
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information processors and how nuclei dynamics coordinate solving complex tasks. To this end you will perform fluorescence microscopy on nuclei populations and quantify their dynamics while challenging Physarum
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full-time PhD candidate on the topic of “Automatic Recognition of building attributes” About us The TUM-Professorship for Data Science in Earth Observation develops innovative methods for information
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(f.mirzapour@tum.de) by 15.07.2022. She will also be happy to provide you with further information in advance. The position is suitable for disabled persons. Disabled applicants will be given preference in case
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are therefore particularly encouraged to apply. To apply, email a motivation letter, CV, and contact information for two references to Dominik Bucher (Dominik.Bucher@tum.de). More details on the previous
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preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are
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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