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, you may be considered if you can document that you are particularly suitable for a PhD education. You must meet the requirements for admission to the PhD programme in Physics or Biophysics
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Max Planck Institute of Molecular Physiology, Dortmund | Dortmund, Nordrhein Westfalen | Germany | about 1 month ago
, biophysics, cell biology, chemical biology, and synthetic biology? The International Max Planck Research School for Living Matter: from molecules to dynamics (IMPRS-LM) is a joint PhD program between the Max
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8 Jul 2026 Job Information Organisation/Company Institute of Biochemistry and Biophysics Polish Academy of Sciences Department Single-Molecule Biophysics Facility Research Field Biological sciences
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Institute of Biophysics
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2 PhD Positions in Computational Modelling of Biological Membranes and Adaptive Functional Materials
between lipids and proteins. Understanding how trans-bilayer lipid asymmetry controls membrane organization and protein function remains one of the central challenges in membrane biophysics. In this project
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microbiology, biophysics, as well as bioinformatics and the analysis of large datasets. Additionally, the PhD student will be part of the Swiss-wide NCCR AntiResist consortium, with lots of opportunities
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each day to conduct world-class science. The Biophysics department of GSI is an interdisciplinary collaboration of biologists, physicists, chemists, biochemists and technicians. The multidisciplinary
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, Bioinformatics, Biophysics, Genetics, Medical Biology, Translational Medicine, or related fields Students with excellent academic performance in their BSc and MSc studies and a clear interest in the above
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by the National Science Centre for SONATA BIS 13 grant. In particular: MSc degree in chemistry, organic chemistry, biological chemistry, biophysics, biochemistry or related discipline. The MSc degree
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dynamics and drug responses. The candidate will use atomistic MD simulations to identify biophysical descriptors of receptor function and integrate these with machine-learning approaches to predict ligand