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26 Aug 2025 Job Information Organisation/Company Malmö universitet Research Field Physics » Biophysics Researcher Profile Established Researcher (R3) Country Sweden Application Deadline 29 Sep 2025
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more about the recruitment process here . Applications received after the deadline will not be
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with participants to deliver measures concerning people’s experiences of the diagnostic process, their access to services and their general well-being and life quality. The positions are ideal for people
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29 Aug 2025 Job Information Organisation/Company Universidade de Coimbra Department SGRH - DRGC Research Field Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country
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PhD scholar, it is envisaged that the following studies will form part of the PhD process for one/both prospective students: State of the art review of current discourse on the (i) science and
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Europe | about 1 month ago
, PortugalSupervisors: Dr. J. Pedro (INF), Prof. L. Cancela (Iscte)Apply here: https://match.iscte-iul.pt/phd-candidates-profiles/apply-to-dc-positions/Job information:Coordinator: Iscte – Instituto Universitário de
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a PhD in Chemistry, Physics or Materials Science with a proven research track record and solid background enabling the study of completely new problems. The post is available until 30 September 2026
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research experience and are explicitly encouraged (e.g. South America, Asia or Africa). The PhD process will be accompanied by integration into TUM’s School of Life Sciences or School of Management and
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with participants to deliver measures concerning people’s experiences of the diagnostic process, their access to services and their general well-being and life quality. The positions are ideal for people
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University explores synergies between nonlinear control theory and physics informed machine learning to provide formal guarantees on performance, safety, and robustness of robotic and learning-enabled systems