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at the intersection of molecular life sciences and computational sciences. This program offers comprehensive perspectives and mentorship in both experimental and computational fields, catering to graduates in molecular
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their supervisors at the beginning of the programme. Application Guidelines The application deadline for the winter term 2026/2027 is December 31, 2025. Applications may be submitted in German or English
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. Qualifications: • Completed academic university degree (Master level) in mathematics, computer sciences, physics or a related discipline • Knowledge of programming, machine learning methods, mechanistic modelling
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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
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Description Two PhD opportunities in computational biophysics/chemistry (Bremen, Germany) The group of Professor Ulrich Kleinekathöfer at Constructor University, Bremen, Germany, is offering one PhD
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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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international work environment Scientific excellence and extensive professional networking opportunities A structured PhD program with a comprehensive range of continuing education and networking opportunities
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American Studies, Greek Studies, Latin Studies, Book Science, Museum Studies, Documentation Science, Cultural Anthropology, Anthropology, Ethnology, German Studies, Ancient History, Ancient Studies, Ancient
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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