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Programme? Not funded by an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Postdoc Positions in Machine Learning and Ab Initio Simulations: Marx Group
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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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with mathematical modeling and machine learning methods will ultimately allow us to predict the entire recognition space for any given TCR sequence. Our work is embedded into close collaborations with
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 19 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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, and create machine learning tools to integrate bacteriophage and bacterial (meta-) genomics data. Analyse phage-host association datasets, which are often noisy and require specific knowledge
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also be able to work on machine learning method development. About Us Located in the prosperous capital of Bavaria and home to over 40000 students, the Technical University of Munich (TUM) is one
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will support IAS-9`s data science and machine learning activities, working in a multidisciplinary team of enthusiastic data scientists, software developers, and domain scientists. Your responsibilities
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
Topic Postdoc (f/m/x) in Machine Learning 102355 Full time Neuherberg near Munich We are Helmholtz Munich. In a rapidly changing world, we discover breakthrough solutions for better health. Our research
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. The current project deals with the use of machine learning / artificial intelligence and big data science in the field of synchrotron research. Development and application of machine learning / artificial
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includes the development of machine learning methods for materials science issues using data-integrative approaches. The applications are mainly related to battery systems in connection with the Cluster