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theoretical expertise from the social sciences and an interest in the topic. Applicants should develop an independent research project within the framework outlined in this work package. Applicants can read
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communication skills are encouraged to apply. A MSc degree (or equivalent) in Mechanical Engineering, Computational Physics, Materials Science or a related discipline is required, with experience in atomistic
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collaboration, as part of the employment process at the University of Copenhagen. Notice: In the following description of the PhD programmes, some references are made to SCIENCE websites The PhD programme
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international network. The Opportunity To grapple with the theoretical, methodological and ethnographic innovations into futures research that the Laureate Programme involves, we need the best and brightest minds
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of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning
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consortium comes in. PRELIFE unites experts across a wide range of disciplines from astronomy, biology, chemistry, computer science, earth and planetary sciences, education, mathematics, to physics. Together
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PhD position on reconstructing early to middle Eocene climate variability Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline
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semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content The Bielefeld Graduate School in Theoretical Sciences (BGTS) is a joint
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, biostatistics, bioinformatics, and theoretical physics. Recently, AI (AlphaFold, computer vision, etc.) has had a huge impact on life science, proving that this field is constantly changing. The mission of QMB is
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program (1-2 pages). A research sketch depicting your idea for the empirical and theoretical design of a study in the research area outlined above (3-4 pages). The outline must be self-written, use academic