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. Collaboration between students and researchers at the partner institutions is facilitated through a lively exchange program. The professional training of students includes data science as a supporting component
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physics, to experimental biophysics and biochemistry, and, to cell and molecular biology involving data science. A position comprises 65-75 % of the fulltime weekly hours and is limited until March 31, 2030
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processes that produce energy and raw materials. The Department of Chemistry of the f-elements is looking for a PhD Student (f/m/d) Actinide coordination chemistry with soft donor ligands, subject to final
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transcripts, at least one recommendation letter and contact information of at least two references. To apply, please send all the required documents in a single .pdf document by e-mail (Subject: PhD application
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Artificial Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). TUD Dresden University of Technology embodies a university culture that is
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processes that produce energy and raw materials. The Department of Chemistry of the f-elements is looking for a PhD Student (f/m/d) Metal-organic frameworks of the actinides as matrices for fission product
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Several PhD positions (f/m/d) in International Research Training Group (iRTG) limits2vision Full PhD
that allow the retina to successfully reconcile high energy demands with information processing capacity. We offer a structured PhD program with the opportunity to develop your individual skillset, intensive
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Sep 2025 Financing yes Type of Position Full PhD Working Language German Required Degree Magister (Masters degree course) Master Areas of study Sociology, Social Science, Economics Description
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Financing yes Type of Position Full PhD Working Language German Required Degree Magister (Masters degree course) Master Areas of study Sociology, Social Science, Economics Description Description As part of
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characterize paralogue expression profiles, cellular dynamics and functional specialization across developmental stages. The project builds upon exciting unpublished data obtained by a previous PhD student