149 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich
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talent development. The Terrestrial Ecology Research Group is part of the Department of Life Science Systems in the TUM School of Life Sciences and is based in Freising, Germany. We do fundamental research
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and research flagship that brings together two of Europe’s most innovative universities to deliver cutting-edge science and jointly train the next generation of UK and German researchers. This program
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, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim at supporting computational thinking and computational problem-solving in the Earth sciences
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around human biology. It is designed to integrate data from mass spectrometry-based experiments and other sources to offer a comprehensive view of proteomes. We (https://www.mls.ls.tum.de/en/compms/home
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We are looking for a Post
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/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq analysis - interest in biological applications - passion for science and
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professors from various TUM faculties cooperate within the framework of MIRMI. Position Overview Join a highly interdisciplinary and innovative team at MIRMI to conduct cutting-edge research in robotic
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to correct WDR45 mutations, assess molecular and functional outcomes, and explore off-target effects. Gain hands-on experience in cell culture, molecular biology, and advanced bioenergetics techniques, with
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. Your Profile: The successful applicant must have the following: • M.Sc. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing, or a related discipline