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environment, rich in interaction with other students, post-docs, and scientists. The programme is fully funded. Location Successful studies should always be accompanied by a pleasant social life. Saarbrücken
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activities at MCML , the collaborations at MCML and our partners . Our centre is a dynamic and exciting place to work, study, and pursue research in the field of ML and AI. Whether you are looking for a job
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the Applied and Computational Mathematics group. His research focuses on time integration methods for all types of (coupled) dynamical systems, with a focus on port-Hamiltonian ODEs, DAEs and PDEs with
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Description 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
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three-year structured PhD programme, allowing the students to collect the necessary European Credit Transfer System (ECTS) points to obtain their PhD in Medical Research. MD students are welcome to join
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are recruited through job postings or scholarship postings on our website. The individual application deadline for each doctoral position is announced in the respective posting: https://www.csmc.uni-hamburg.de
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research on electrochemical systems Experience in one (or more) of the following areas is desirable: electrochemistry, electrocatalysis, additive manufacturing (spray coating, doctor blade, slot-die coating
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Max Planck Institute for the Structure and Dynamics of Matter • | Hamburg, Hamburg | Germany | 4 days ago
Planck Research School for Ultrafast Imaging & Structural Dynamics (IMPRS-UFAST) is a joint venture of the Max Planck Institute for the Structure and Dynamics of Matter, Deutsches Elektronen Synchrotron
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at the Clinic for Radiology! We are seeking a highly motivated PhD student to join our interdisciplinary research team investigating the dynamics of immune cells in cancer. The focus of the project is on single
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-specific inflammation” and aims to develop and apply advanced imaging tools to study immune cell dynamics in murine models of inflammation and cancer. More about our work: https://www.medizin.uni-muenster.de