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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
hold a PhD or equivalent degree in the above mentioned or related fields. What we offer State of the art on-site high performance/GPU compute facilities A team of 30+ expert colleagues A family friendly
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computational tools to evaluate models of biological and artificial vision, as part of the DFG-funded Collaborative Research Center (CRC) “Robust Vision” at the University of Tübingen. This is a unique
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Your Job: We are seeking highly motivated postdoctoral researchers to join these projects. If you are passionate about protein dynamics and design, protein function prediction, small molecule
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. Jonathan Finley (jj.finley@tum.de). Candidates should also arrange for two letters of recommendation to be submitted to the same address from scientists familiar with their work. TUM seeks to actively
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, attractive working environment work in an interdisciplinary team together with basic scientists, surgeons and clinician scientists and bioinformaticians multiple opportunities for continuing education and the
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passionate about applying cutting-edge information technology to solve the energy and climate crisis and would like to work in a vibrant and international research environment? Then let’s design the energy
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Postdoctoral Research Associate in Sum-Frequency Generation Microscopy of Biomolecular Self-Assembly
The Fritz Haber Institute (FHI) of the Max Planck Society is an internationally renowned research institute and part of Germanys most successful research institution. Within the historic grounds in
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, extension is sought) Contract:TV-L Your tasks Molecular laboratory work with 2D and 3D cell culture models Experimental design, data analysis and interpretation Publishing research findings in peer-reviewed
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invasive sensing tools to monitor metabolites, oxygen, carbon dioxide, pH, and other parameters. Ideally, the methods can function in parallel and on a large scale. The research is vital to understand key
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The Network Analysis and Modelling group investigates how genetic variation shapes gene regulation, protein function, and, ultimately, observable plant traits. Using machine learning and network