18 programming-"Multiple"-"U"-"Embry-Riddle-Aeronautical-University"-"U.S" positions at Free University of Berlin
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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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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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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
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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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different spectral ranges, and engineer materials through hybrid light-matter states. Our group is funded by the Emmy Noether Programme of the German Research Society (DFG). We closely collaborate with
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scientific work • Programming skills, experience with Linux and high performing computing • Experience in joint experimental-theoretical collaborations We are interested in a diverse research community and
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program, which includes tailored training, workshops, retreats, and conference travel. You will have access to cutting edge laboratories, individual supervision, and a wide range of development
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spectrometry and programming skills. The position is very suitable for a Master's thesis. Furthermore, the working group plans to establish a PhD position in this field in the course of 2026. Although a
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Data Science programs. Job description: The advertised position is planned for work in our EU project Waste Water Pathogens (WaWaPa). The project of the European Health and Digital Executive Agency
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• Programming skills, especially in the field of scientific computing and data analysis and web presences • Knowledge of data processing, network architectures and operating system environments. • Good knowledge