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About the German Cancer Research Center (DKFZ) The German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ) is Germany’s largest biomedical research institute and a member of the Helmholtz Association of German Research Centers . Over 3,200 staff members from 88 nations are...
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Your Job: Work on a wide range of computer vision and machine learning methods and applications focusing on the aspects outlined above, inspired by the needs of societally relevant applications, e.g
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work with Prof. M. Ángeles Serrano and Prof. Marián Boguñá at the interface between Network Science and Machine Learning. The goal is to merge the best of the two worlds to produce a new generation of
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Employer https://main.hercjobs.org/jobs/19939573/postdoc-research-associate-at-nyu-in-machine-learning-scientific-computing-for-high-dimensional-systems Return to Search Results
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collaborations with academia, industry, and society. The Data Science & AI division within CSE engages in research and education within a growing area encompassing Data Science, AI, Machine Learning, and its
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the Wallenberg (DDLS-WASP) project Machine-Learning how our Cells Capture Energy - Data- Driven Studies of Membrane Protein Function, Evolution, and Disease. We are searching for a highly motivated postdoc to join
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) that can benefit either from: (i) continual learning, and (ii) spiking neural networks implemented in neuromorphic processors. Design and develop the machine learning algorithms able to provide a good
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Website https://www.academictransfer.com/en/338925/postdoc-in-machine-learning-and-rein… Contact City Amsterdam Website http://www.vu.nl/ Street De Boelelaan 1105 Postal Code 1081 HV STATUS: EXPIRED
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 10 days ago
in Machine Learning for Health (f/m/x) 102396 Full time Neuherberg near Munich Home Office Options We are Helmholtz Munich. In a rapidly changing world, we discover breakthrough solutions for better
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the University of Luxemburg, is to develop reliable, efficient, and accurate machine learning force fields (MLFF) for molecular dynamics simulation of systems sizes ranging from ~1000 to 100.000 atoms while