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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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(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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GESIS - Leibniz Institut für Sozialwissenschaften | Mannheim, Baden W rttemberg | Germany | 10 days 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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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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24 May 2024 Job Information Organisation/Company Helmholtz Zentrum Berlin Research Field Chemistry » Applied chemistry Physics » Chemical physics Researcher Profile First Stage Researcher (R1
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 13 days ago
challenges facing society today. The Institute of Fluid Dynamics is conducting basic and applied research in the fields of thermo-fluid dynamics and magnetohydrodynamics in order to improve the sustainability
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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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addition to technical models allowing to assess technical scaling and an optimal operation. The optimal plant design is identified by considering the energy supply system, the choice of capture technology, the DAC
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data collection and metadata extraction protocols to enhance machine learning-based software applications for materials science. Your Profile: Master’s degree in Engineering, Computer Science, Physics