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Engineering, Computer Science, Pharmacy, and/or another similar field. At least 2 publications as first author. PREFERRED: Experience and knowledge in Computational biology and Bioinformatics would be desirable
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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including dynamical and cosmological horizons, gravitational entropy, Noether charge methods, holographic coarse-graining, chaos, black hole heat engines and quantum field theory in curved space-time. These
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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EPFL, the Swiss Federal Institute of Technology in Lausanne, is one of the most dynamic university campuses in Europe and ranks among the top 20 universities worldwide. The EPFL employs more than
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Postdoc (f/m/d) at Rossendorf Beamline at the ESRF / Completed PhD in Physics, Chemistry, Materia...
Helmholtz Association of German Research Centres | Tremblay en France, le de France | France | 2 months agoengineers at ROBL) # Collaborating with support groups at ESRF, including mechanical, electronic, and detector teams, to accomplish the tasks # Actively contribute to ongoing research within the MaLaR
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15 Jul 2026 Job Information Organisation/Company Graz University of Technology Department Institute of Electron Microscopy and Nanoanalysis Research Field Biological sciences Researcher Profile
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antigens presented by MHC molecules. This curiosity-driven project develops cutting-edge AI technology for 3D TCR–pMHC modeling to improve neoantigen identification, TCR specificity prediction, and TCR