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Description Thinking of doing your PhD in the Life Sciences? The International PhD Programme (IPP) Mainz is offering talented scientists the chance to work on cutting edge research projects
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outstanding students from all over the world to apply for PhD positions in our renowned PhD program. Based in Hamburg, our program offers excellent training and top-level structured supervision in climate
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Description The Chair of Applied Mathematics at the Faculty of Mathematics and Geography at the KU Eichstätt-Ingolstadt invites applications for a position as Doctoral candidate in Applied Mathematics/ Approximation Theory to be filled by the earliest possible starting date. The Chair of Applied...
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student projects and BSc/MSc theses Your Profile: Master’s degree in physics, electrical/electronic engineering, computer science, mathematics, or a related field Strong background in machine learning
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leading international journals and conferences • Literature research • Scientific publishing Your qualifications: • Completed academic university degree (university diploma / M.Sc.) in Computer
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the third year. The position is subject to the approval of project funding, which is still pending. Your tasks The advertised radioecology-oriented doctoral program is being carried out in a joint project
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students holding Bachelor degrees be admitted to the BIGS graduate program. Your application should contain: a CV, a cover letter, transcripts of your degrees, proof of English proficiency, a chapter or an
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QCLs) for high-resolution spectroscopy. Within the framework of the priority program INtegrated TERahErtz sySTems Enabling Novel Functionality (INTEREST) funded by the German Research Foundation (DFG
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functionalities. This highly collaborative project, jointly investigated by PDI, TU Munich, University of Münster and HTW-Berlin, is funded by DFG within the priority programme SPP2477 "Nitrides4Future
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computing to develop a continuous and local alternative to existing gradient-based learning rules, bridging theories of predictive coding with event-based control/ Simulate models of the learning algorithm