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technologies. You will work at the interface of data science, imaging technology and biomedical research, developing analysis strategies for complex real-world datasets ranging from preclinical experiments
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align with one or more of these directions and who are excited about advancing the interface between AI and the natural sciences. Where to apply E-mail [email protected] Requirements Research
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funded by the German federal government and 10 percent by the state of Berlin. Join an interdisciplinary research project at the interface of neurobiology, RNA biology, and bioinformatics. The aim
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environment with cutting-edge computational facilities, including the on-site top European supercomputers Team & Environment: You will work in a friendly international research team at the interface of quantum
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
insights from cutting-edge imaging and sensing technologies. You will work at the interface of data science, imaging technology and biomedical research, developing analysis strategies for complex real-world
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
methodological research questions. Your tasks Develop independent scientific questions at the interface of imaging mass spectrometry, computational biology, and digital pathology Develop and validate computational
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interactions and nanoprocessingposition within the Collaborative Research Centre 1477 “Light-Matter Interactions at Interfaces” (LiMatI), funded by the German Research Foundation (DFG). The project focuses
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-support outputs in realistic tumor board scenarios. The work is carried out in close collaboration with partners at TU Munich and RWTH Aachen. This is a genuinely interdisciplinary role at the interface
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German Cancer Research Center in the Helmholtz Association (DKFZ) | Heidelberg, Baden W rttemberg | Germany | 2 months ago
, genome-wide data integration, statistical modeling, and hypothesis-driven experimental design, preparing them for leadership roles at the interface of molecular biology and data science. Your Tasks Project
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Excellent university degree (Master’s) in Electrical Engineering, Physics, Applied Mathematics, or a related discipline Strong motivation for interdisciplinary research at the interface of energy systems