286 computer-science-intern "https:" "https:" "https:" "https:" "U.S" positions at DAAD
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project involves interdisciplinary research at the interface of computer science and mathematics, with a focus on bivariate molecular machine learning for modeling molecular interactions and properties
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available in the further tabs (e.g. “Application requirements”). Objective The programme supports students from the Sultanate of Oman. Who can apply? The programme is aimed at applicants with a secondary
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available in the further tabs (e.g. “Application requirements”). Programme Description The Max Weber Programme is open to particularly gifted students who are enrolled at a Bavarian higher education
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available in the further tabs (e.g. “Application requirements”). Programme Description The DBU scholarship programme for PhD students aims to support young academics in the field of applied environmental
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this with expertise in high-performance computing and artificial intelligence using unique scientific infrastructures. Are you excited about working at the interface of natural and computer sciences? At
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journals Presenting results at scientific meetings Your profile Completed university studies (Master/Diploma) in the field of Chemistry, Physics, Computer Science or related field Knowledge of Density
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme enables academics from all over the world to undertake research residencies of 1-3 months at the Berlin
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Description We invite applications for a fully funded PhD position within the DFG Priority Programme SPP2389. https://tu-dresden.de/mn/biologie/allgemeine_mikrobiologie/spp2389?set_language=en
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to such functions as movement, growth and regulation – emerge from interaction between their component parts. A distinctive feature of the CAFE-BIO programme is that a novel combination of modelling and analysis
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equivalent in Health Economics or a related field and speak English. If you want to join us, please apply until March 29, 2026 via our online application platform. https://www.drs.fu-berlin.de/user/register