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19 Aug 2026 Job Information Organisation/Company University of Luxembourg Research Field Educational sciences » Education Researcher Profile First Stage Researcher (R1) Application Deadline 18 Aug
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of certificates, including transcript if currently enrolled in MS program Contact information for 2-3 references Further information about Institute for Atmospheric and Climate Science (IAC) can be found on our
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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
qualification equivalent to a Master’s degree in Chemistry, Mathematics or Computer Science by the start of the PhD; A curious mind-set and strong background in quantum crystallography and its underlying
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5 Sep 2026 Job Information Organisation/Company Tilburg University Research Field Computer science » Computer hardware Computer science » Programming Engineering » Electrical engineering Engineering
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Department: Konstantinos Tripsianes Research Group – Central European Institute of Technology Deadline: 23 Dec 2026 Start date: Immediately or upon agreement Job type: full-time Job field: Science
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, Psychology, Neuroscience, Computer Science, or a related field, interested in interdisciplinary approaches to understanding human cognition, experience with experimental research and data analysis, and
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28th September 2026 Languages English English English The Department of Marine Technology has a vacancy for a PhD Candidate in information fusion and data assimilation for ocean space utilization
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Role Description This is a full-time (37 hours/week) on-site role located at Åbogade 34, 8200 Aarhus N, Denmark for a Postdoctoral Fellow at the Department of Computer Science, Aarhus University
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, Masaryk University announces an open competition for the position Ph.D. Fellowship Workplace: RECETOX, Faculty of Science, Masaryk University in Brno, Czech Republic Type of programme: 4-year Ph.D
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The continuous release of Earth Observation (satellite) data and the emergence of Machine Learning methods open up new possibilities for understanding forests. These large datasets provide