97 engineering-computation-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" scholarships at Nature Careers
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BUG-ID is a Marie Sklodowska-Curie Doctoral Network project, funded by the European Commission, Horizon Europe Program. Commencing its activities in January 2026, the Network will provide PhD
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or engineering backgrounds. What the Franklin PhD Programme Offers A unique research-focused environment, plus collaborations with leading universities and global companies Access to brand-new labs and industrial
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. As part of the DFG-funded
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actively to our weekly group meetings and some administrative duties - Complete the training programme for PhDs at the University of Vienna - Disseminate and present your work and represent the group through
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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of the 14 doctoral candidates recruited from 9 European countries. STEM-CORE, supported by the Marie Skłodowska-Curie Actions (MSCA) programme, aims to explore strategies to develop stem cell therapies and
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Research Program RTG3120 on Biomolecular Condensates (https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared training activities, and supervision by
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are proud to work together in a truly integrating manner. Our partners, e.g. University of Hamburg, the Max Planck Institute for Meteorology or the German Climate Computing Centre are also hiring. All jobs
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Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). It is located at the University of Leipzig and the TUD Dresden University of Technology
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software engineering, computer science, data science, bioengineering, bioinformatics, engineering, physics or related Experience in either machine learning or computational biology. Interest in both