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laboratory seeks to understand dynamic molecular mechanisms underlying protein function. We integrate structural biology, electrophysiology, quantitative biophysics, and computational approaches to
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laboratory seeks to understand dynamic molecular mechanisms underlying protein function. We integrate structural biology, electrophysiology, quantitative biophysics, and computational approaches to
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laboratory seeks to understand dynamic molecular mechanisms underlying protein function. We integrate structural biology, electrophysiology, quantitative biophysics, and computational approaches to
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Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) | Erlangen, Bayern | Germany | about 1 month ago
Academia Apply now Save job Click to add the job to your shortlist Send job Job Details The Department of Biology at Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) (https
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Computational Biology Employer VIB Location Ghent Closing date 17 Nov 2026 View more categories View less categories Discipline Life Science Job Type Postdoctoral Employment - Hours Full time Duration
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and scientific exchange across the entire spectrum of Applied Mathematics, Applied Physics and Soft Matter, Bioinformatics and Biostatistics, Computational Biology, Theoretical and Computational
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Science and Engineering of ETH Zurich (located in Basel). We work at the interface of protein engineering, molecular biophysics, and synthetic biology, developing new experimental and computational
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. Your workplace Your workplace will be at the Biology division at The Department of Physics, Chemistry and Bioogy (IFM). Professor Anna Eklöf: https://liu.se/en/employee/annek49 ReDiLEEP network
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Physics » Optics Biological sciences » Biology Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions Application Deadline 18 Sep 2026 - 23:59 (Europe/Warsaw) Country Poland Type of
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design and synthetic biology for developing programmable living materials, with a particular focus on the de novo design of proteins biofilm systems. The research combines computational protein design