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, computer science and mathematics. Candidates are expected to suggest possible supervisors (PhoQS PIs) as part of the application process. Detailed information on the graduate and scientific program and the
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interdisciplinary PhD projects in the Simulation and Data Lab Digital Bioeconomy. Each project combines natural sciences with computational and data-driven approaches, focusing on topics such as plant carbon
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, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity and transfer
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Your Job: You will work as a doctoral researcher within one of four interdisciplinary PhD projects in the Simulation and Data Lab Digital Bioeconomy. Each project combines natural sciences with
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on computational optimization of
studies on the processing, mechanical and corrosion properties of Mg-based alloys, mostly limited to the alloys produced via traditional casting, extrusion and forging. Reports on rationalisation
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HBIGS Heidelberg Biosciences International Graduate School | Mannheim, Baden W rttemberg | Germany | 16 days ago
between residual leukemic cells and the microenvironment in first remission is important to devise novel therapeutic strategies. Natural killer (NK) cells belonging to the innate immune system have emerged
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) to predict, observe, and manipulate epigenetic processes. The Schneider group is looking for a PhD candidate (f/m/x) to work on the interphase between epigenetics and cellular metabolism. The applicant should
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of high cor
(Deutsches Elektronen-Synchrotron/German Electron Synchrotron) and Scanning Kelvin Probe Force Microscopy (SKPFM) for visualising the distribution of cathodic phases in bulk and on plane, along with integral
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programs, the university unites the natural and engineering sciences with the humanities, social sciences and medicine. This wide range of disciplines is a special feature, facilitating interdisciplinarity
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related disciplines Quantitative imaging, data analysis, or computer vision Numerical modeling of biological systems or continuum mechanics Machine learning/AI, particularly explainable AI (XAI) Hands