50 programming-language-"St"-"University-of-St"-"St" Postdoctoral positions at Nature Careers in Germany
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The University of Marburg, founded in 1527, offers a variety of excellent programs of study for around 22,000 students and confronts the important topics of our time through excellent research
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on approval by the funding agency. The position is initially funded until 31.03.2027, but an extension is envisaged. Remuneration is in accordance with the German public tariff scheme (TV-L Brandenburg), salary
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enquiries can be directed to Prof. Kai Wirtz (kai.wirtz@hereon.de ). Your profile MSc and PhD in environmental sciences, physics or related disciplines with experience in programming languages (e.g., Fortran
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. The affiliated early career program of the Jena School for Microbial Communication (JSMC) offers an ambitious, structured and interdisciplinary post-graduate training based on top-level fundamental research
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—for bacterial control and therapeutic application. Together, we identify functional prophage genes, develop genetic tools, and test engineered phages in infection models. Your tasks Plan and perform in vitro and
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strongly encouraged to apply Collaborative and enthusiastic attitude to science Excellent communication skills We offer international working environment with communication in English and German interesting
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research At least one first authorship in a peer-reviewed journal Previous experience in cardiovascular basic research (advantageous but not required) Very good written and spoken English skills, as
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spin-off opportunities supported by programs like GO-Bio. Your tasks Drive the advancement and integration of laser diode and chip technologies in close collaboration with research teams Perform proof
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protein biochemistry, single particle cryo-EM or cryo-ET is an asset, curiosity and willingness to learn new methods and adjust to technological developments a must. Strong written and oral communication
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experience in the analysis of metagenomics and/or biological high-throughput data Knowledge of statistical and machine learning methods in the context of biological systems Experience with programming (e.g