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), calculus of variations, optimal control, who is willing to engage in innovative and interdisciplinary research questions. Good communication skills in English and/or German are expected. What we offer: WIAS
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English and submitted online via this survey https://survey.demogr.mpg.de/index.php/951698?lang=en and include the following documents:1_Curriculum Vitae 2_Letter of interest (Max 1 page)Briefly state why
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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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. 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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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
Competitive research in an inspiring, world-class environment A wide range of offers to help you balance work and family life Further training opportunities and free in-house language courses The group language
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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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Excellent communication skills in English (written and spoken), as it is the working language in the institute. The appointment of PhD candidate will be for 3 years (aligned with MPI Sus-Mat’s doctoral
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with e.g. powder diffraction Experience with wet chemical synthesis, e.g. nanoparticles A distinct advantage would be: Experience with high-level programming languages, e.g. Python Knowledge in magnetism
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programming would be considered an asset. Proven record in publication of results in high-impact journals. Programming experience in at least one the following: C, C++, Fortran. Proven background in software
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and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be considered an asset Proven record in publication