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Field
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) explores the interactions between science, technology, society, and policy, with a distinct focus on the social studies of the life sciences and biomedicine. The group is based at the STS Department
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Its Fraunhofer Institute for Cell Therapy and Immunology IZI researches and develops special problem solutions at the interfaces of medicine, life sciences and engineering. For our research group
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16 May 2024 Job Information Organisation/Company TU Dresden Research Field Computer science » Computer architecture Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | about 1 month ago
Programme? Not funded by an EU programme Reference Number SDM-166 Is the Job related to staff position within a Research Infrastructure? No Offer Description GESIS – Leibniz-Institute for the Social Sciences
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(e.g., King's College (London), Yale University (United States)) The Max Planck Society offers a variety of training, soft skill and career-oriented courses Payment and benefits according
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postgraduate degree programmes in four multidisciplinary faculties: Technology and Bionics, Life Sciences, Society and Economics, and Communication and Environment. International collaboration is a strength of
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Developing innovative technology solutions and bringing them to application - that is our goal at the Fraunhofer Institute for Photonic Microsystems IPMS. With our expertise in the development
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Developing innovative technology solutions and bringing them to application - that is our goal at the Fraunhofer Institute for Photonic Microsystems IPMS. With our expertise in the development
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to the FAIR-ification of data, establishing systematic data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s
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social research or a completed academic degree in empirical social research with knowledge of data science or a related field Very good programming skills in R Very good knowledge of estimating regression