119 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Bournemouth University" uni jobs at Nature Careers in Germany
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and Individualized Medicine ; https://curatime.org/ ) a Clusters4Future initiative funded by the German Federal Ministry of Research, Technology and Space (BMFTR), integrating RNA technologies
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to the University of Regensburg (for further information, see https://www.uni-regensburg.de/universitaet/jobs-und-karriere/familien-service ). In order to fulfil its equal opportunities mandate and increase
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Senior Semantics Data Scientist (m/f/d) in the fields of Computer Science, Data Science, Physics, Ma
To strengthen our team in the division “eScience” in Berlin-Steglitz, starting 01.06.2026 we are looking for a Senior Semantics Data Scientist (m/f/d) in the fields of Computer Science, Data Science
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(see https://www.uni-regensburg.de/universitaet/jobs-und-karriere/familien-service for more information). Candidates with disabilities and essentially equivalent qualifications will be given
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career is of particular importance to the University of Regensburg (for further information, see https://www.uni-regensburg.de/universitaet/jobs-und-karriere/familien-service). In order to fulfil its equal
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(JLU) and the Leibniz Centre for Agricultural Landscape Research (ZALF) e. V. in Müncheberg, invite applications for a W3 Professorship in Landscape Data Analytics according to the Jülich model
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developments like the Medical Imaging Interaction Toolkit (MITK, https://www.mitk.org ) Work with diverse medical data modalities, including radiological images, and clinical data, as well as AI-derived models
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preferred in case of equal qualification. We welcome applications from all backgrounds. For more information please contact: Prof. Fan Liu; e-mail: fliu@fmp-berlin.de. Homepage FMP: http://www.fmp-berlin.de
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. Qualified candidates are asked to apply via the Appointment Portal of the University of Bonn (https://berufungsportal.uni-bonn.de/openProcedureList.do ). The application can be submitted in German or English
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of the following areas: Digital radiology Generative AI for medical imaging Digital patient twin Data-driven therapy decisions and response monitoring Sustainability in healthcare: designing for circularity Medical