196 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "CNRS " positions at Nature Careers in Germany
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communication of research results in stakeholder dialogues with industry actors and policymakers Requirements: Master’s Degree or PhD in Computer Science, Physics, Engineering, Mathematics, Economics
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curATime (Cluster for Atherothrombosis and Individualized Medicine ; https://curatime.org/ ) a Clusters4Future initiative funded by the German Federal Ministry of Research, Technology and Space (BMFTR
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program specific seminars as well as an individualized curriculum comprising lab and soft-skill courses, congresses, symposia and summer schools. Communication and teaching language throughout HBRS is
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Biochemistry (IPB, https://www.ipb-halle.de/en/ ) the following position is to be filled ideally on October 1st, 2027: Full Professor (Chair, W3) of Chemistry of Natural Products and Bioactives und Director at
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W3 Endowed Professorship for “Hemodynamic Modeling in Atherosclerosis- (f/m/d) KSB Foundation W3 end
the master's degree program in biomedical engineering. In addition, research-oriented teaching formats, elective courses, and structured support for young researchers are intended. Prerequisites for application
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to the success of the whole institution. At the Faculty of Computer Science, Institute of Computer Engineering, the Chair of Compiler Construction offers two full-time project positions in the context
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to collaborate closely with existing structures, such as the FAU Competence Center Engineering of Advanced Materials (FAU EAM), the Erlangen National High-Performance Computing Center (NHR@FAU), the FAU Data
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The Center for Molecular Bioengineering ( B CUBE) ( https://tu-dresden.de/cmcb/bcube ) and its partner institutions, the Biotechnology Center (BIOTEC) and the Center for Regenerative Therapies
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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science/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning