601 professor-computer-science-"https:" "https:" "https:" "https:" "University of Cambridge" PhD positions in Germany
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Berlin (BCCN Berlin) is an interdisciplinary research programme. Neuroscience is one of the most intensively developing and important sciences of the 21st century. Understanding the functioning
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candidate will be embedded in the DFG Research Program RTG3120 on Biomolecular Condensates ( https://dresdencondensates.org ). Each PhD project is part of an interdisciplinary framework that includes shared
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Manipulation in Cluttered and Dynamic Environments (ID: TUEILSY-PHD20240930-SCMM) A more detailed topic description can be found at https://www.ce.cit.tum.de/lsy/open-positions/open-phd-positions/ . Requirements
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Description KIT Graduate School Computational and Data Science (KCDS) is a graduate school at KIT Center MathSEE that offers an interdisciplinary training program for doctoral researchers in
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researchers specializing in marine segmented worms (Annelida) with comparative genomics experts. Its goal is to better understand European biodiversity using cutting-edge molecular and computational techniques
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), Hamburg Cluster of Excellence "Climate, Climatic Change, and Society" (CLICCS), Hamburg Max Planck Institute for Meteorology (MPI-ESM), Hamburg Helmholtz-Zentrum Hereon German Climate Computing Centre (DKRZ
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Italian Languages Participants can choose to write their doctoral dissertation in French, German or Italian. Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application
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social dynamics, as well as the interactions between the two. To this end, we are looking for colleagues from a wide range of disciplines, including the natural sciences as well as the social sciences. We
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explores biological systems across scales—from molecules to whole organisms and ecosystems. Our program transcends traditional life science boundaries, combining pioneering methodologies and perspectives
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. Academic admission requirements Master of Science or equivalent degree with a strong background in neuroscience, biology, physics, biomedical sciences, computational science, applied mathematics, statistics