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on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic
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theoretical and/or computational research in Nonequilibrium Statistical Physics and Active Matter, under the supervision of Ramin Golestanian. For more information concerning our current areas of research
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will engage in theoretical and/or computational research in Nonequilibrium Statistical Physics and Active Matter, under the supervision of Ramin Golestanian. For more information concerning our current
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for the following 10 positions starting May 1st, 2026: Research Staff (PhD Position) in the field of Physics (salary scale 13 TV-L, 75 %) The fixed-term positions end February 28th, 2030. Your role Join an
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of Europe’s biggest research centers and help us to shape change! Are you excited about working at the interface of natural and computer sciences? At the Institute of Bio- and Geosciences (IBG
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Description 3 x Academic Researcher (m/f/d) (TV-L E 13, 100%, Service Location: Clausthal-Zellerfeld) The research group Dependable and Autonomous Cyber-physical Systems (DACS) at the Institute
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nationalities are welcome. Please note our information on data protection in the application process at: https://www.tu-clausthal.de/universitaet/karriere-ausbildung/stellenangebote/hinweise-zum-datenschutz-im
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, their achievements and productivity to the success of the whole institution. The newly DFG-funded Research Training Group ( RTG 3120 ) “Biomolecular Condensates: From Physics to Biological Functions” is developing
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Particle Acceleration is looking for a PhD Student (f/m/d) Multimodal Reconstruction of Laser-Electron Accelerator Phase Space using Physics-Informed Deep Learning. Your tasks Understand the physical
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. The aim of the project is two-fold. Firstly we wish to leverage the emerging information field theory framework to theoretically evaluate the impact of experimental parameters, such as degree of coherence