23 programming-"Multiple"-"U"-"U.S"-"O.P"-"Embry-Riddle-Aeronautical-University" positions at Free University of Berlin in Germany
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The Department of Earth Sciences has been offering a new international Master's degree programme "Planetary Sciences and Space Exploration" since the winter semester 2022/23. A tutor position
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Working Group, for example outreach events, event organization, maintenance of the website and publication data of the working group. Desirable: - experience in editing websites - experience in programming
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. degree in theoretical physics and must meet the requirements for admission to the doctoral program of the Department of Physics at Freie Universität Berlin. Desirable: Excellent knowledge of theoretical
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desirable - Strong collaborative skills and ability to work well in a complex, multidisciplinary environment across multiple teams, with the ability to prioritize effectively. Applications should be sent by e
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documentation. - Supporting the team in preparing and implementing various informed machine learning models for benchmarking and analysis. Desirable: - Currently enrolled in a Bachelor's or Master's program in
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: - Enrolment at a German university. - Major in physics, mathematics, computer science or related subject - Programming experience in Python - Experience with PyTorch or similar libraries for neural networks
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program, which includes tailored training, workshops, retreats, and conference travel. You will have access to cutting-edge laboratories and theoretical methods, individual supervision, and a wide range of
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The History Department of Freie Universität Berlin is home to a broad variety of research projects and scholarly initiatives in the field of global history (among them, the MA program Global History
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, teach in the subject “Animal Breeding and Genetics, Including Animal Judging” within the Staatsexamen (state examination) veterinary medicine degree program that licenses graduates to practice veterinary
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using the programming language Fortran. Experience or willingness to run numerical models on parallelized supercomputers. Experience in the analysis of model output using Python or a similar high-level