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machine‑learning or data‑analytics tools High‑level programming skills (Python, R, Julia) to build, test, and optimize models of geochemical systems Interest in large‑scale computational simulations (e.g
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labs) Intensive scientific supervision and interdisciplinary collaboration within the project consortium Opportunity to pursue a PhD in cooperation with a German university A structured PhD program with
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lectures, supervising exercises, and mentoring students in our B.Sc. and M.Sc. programs. Your profile: Completed Master’s degree or diploma (with excellent to good results) in Computer Science, Software
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to combine ribonucleic acid (RNA) research with infection biology. Based on novel findings from our strong basic research program, our long-term goal is to develop innovative therapeutic approaches to better
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modeling and computational workflows Knowledge about machine learning: statistics and deep learning Experience in data analysis, visualization and presentation Good programming skills in languages such as
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Institute for the History of Science, Freie Universität Berlin, Humboldt-Universität zu Berlin and Technische Universität Berlin. It is an international PhD program based in the history and philosophy
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-motivation and interest to learn new skills Great to have: Experience programming in Python, Julia, or C/C++ Experience with Mathematica Experience with finite element methods, agent-based simulations, and/or
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at the universities in Berlin: Freie Universität (FU), Humboldt-Universität (HU) and Technische Universität (TU). We offer an excellent doctoral program taught in English in a broad and active research environment
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the programme area ‘Plant Adaptation’ (ADAPT). The aim of the research project is to understand how intrinsically disordered regions (IDRs) and prion-like domains (PLDs) control the temperature responsiveness
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Description DAAD Graduate School Scholarship Program (GSSP) in Experimental Geosciences The Doctoral Program of Experimental Geosciences at the University of Bayreuth has been awarded a