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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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• 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
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programming language. Fluency in English (written and spoken). The ability to work in a team. For further information, please contact Prof. Dr. Fabian Hoffmann (f.hoffmann@fu-berlin.de ). Applications should be
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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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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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motivation - 2 letters of recommendation from university teachers Applicants should be prepared to reside in the Berlin-Potsdam area and to take part in a structured study program with research overseas
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: Providing support with: - software maintenance and extension of a simulation package - the development of training material - processing of bug reports, user enquiries (mailing list), etc. - programming
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Responsibilities: The successful applicant will act as director of the newly created Institute for Animal Genetics. They will also carry out research in the field of animal breeding and genetics
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(natural language processing) and machine learning methods. We are looking for very good graduates of Master's programs with a strong interest in topics of accounting or auditing who would like to dedicate
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focuses on the development and validation of AI-supported methods for the analysis of biomedical data and the secure integration of AI technologies into clinical and biotechnological applications. A central