38 programming-"the"-"DAAD"-"IMPRS-ML"-"EURAXESS"-"O.P"-"Study-Group" "Prof" Postdoctoral positions at Nature Careers
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Postdoc Position in Models of Quantum Programming Languages (Sapere Aude: DFF-Research Leader Pro...
by Assoc. Prof. Robin Kaarsgaard . The project aims at introducing new abstractions, models, and programming languages that radically change how we can reason about and develop quantum programs
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field Modern infrastructure anda state-of-the-art-laboratory with committed colleagues to manage project-related challenges Support of new research ideas beyond the existing research program Encouragement
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. It is located at the Campus Riedberg in Frankfurt am Main. Prof. Dr. Dr. Hartmut Michel’s emeritus group (formerly department of Molecular Membrane Biology) at the Max Planck Institute of Biophysics
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live in. Your role The Mobilab Transport Research group led by Ass. Prof. Francesco Viti at the University of Luxembourg has an opening for a 2-year postdoctoral researcher on Transport Modelling and
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to join our team! Your professional field of activity: We are looking for a University Assistant Postdoc to to complement the research team around Univ.-Prof. Ulisse Stefanelli, PhD. The focus of our
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) is offering a Postdoctoral position: “Bacterial immunity against RNA phages” (f/m/d) in the research group Molecular Principles of RNA Phages under the direction of Jun. Prof. Jens Hör. The Helmholtz
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their thesis research. The candidate will work closely with Prof. Olivares-Mendez and Dr. Carol Martinez, the members of the Space Robotics (SpaceR) research group (www.spacer.lu ) and Redwire Space Luxembourg
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postdoctoral fellow is needed to join a strong team involved in spanning both dry and wet lab approaches. The postdoctoral fellow will be affiliated with both the Prof. Struan Grant and Dr. Shaon Sengupta labs
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the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with
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machine learning methods in the context of biological systems Experience with programming (e.g., Python, Perl, C++, R) Well-developed collaborative skills We offer: The successful candidates will be hosted