885 associate-professor-computer-"https:"-"https:"-"https:"-"https:" positions in Germany
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existing technologies, right through to the tested prototype. The Data-based Methods team at Fraunhofer ENAS develops real-world applications using AI, machine learning and computer vision. The main focus is
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graduate school program (including data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Further development of your personal strengths, e.g., via a comprehensive
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to the success of the whole institution. At the Faculty of Chemistry and Food Chemistry, the Chair of Theoretical Chemistry offers, subject to the availability of resources, a position as Research Associate / PhD
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Research Associate Development & application of wire-mesh sensors for thermohydraulic test facilitie
Research Associate (m/f/x) Development and application of wire-mesh sensors for thermohydraulic test facilities (subject to personal qualification employees are remunerated according to salary group E 13 TV
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, numerical in collaboration with other RTG members (fellow students and supervising professors) implementation of the planned research program, evaluation and interpretation of the results and transferring
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a position as Research Associate (m/f/x) (subject to personal qualification employees are remunerated according to salary group E 13 TV-L) starting at the earliest possible date. The position is
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their achievements and productivity to the success of the entire institution. At the Faculty of Electrical and Computer Engineering, Institute of Solid State Electronics, Chair of Coating Technologies in Electronics
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its employees in reconciling work and family life and regularly undergoes the audit berufundfamilie® . Further information at: http://www.ifw-dresden.de . The Nanostructured Thin Film Materials (NTFM
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20.08.2025, Academic staff The Professorship of Energy Management Technologies at TUM’s School of Engineering and Design is looking for a Research Associate and Doctoral Candidate (f/m/d) in Energy
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. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing