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) to design representations and transferable energy models for proteins and materials. Contribution to teaching on statistical physics and machine learning. The position will serve to develop your own
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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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IT sector • Knowledge of electrical engineering • Solution-oriented, conceptual and analytical approach • Good time management and planning skills • Strong commitment to your own professional
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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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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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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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of liberal values in a repressive authoritarian setting. For this purpose, it focuses on studying the persistence of urban educated groups of the pre-revolutionary era under the Communist rule. We plan
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and use machine learning methods (mainly graph neural network architectures) to design representations and transferable energy models for proteins and materials. The position will serve to develop your
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, taking minutes, and summarizing meetings and workshops with a focus on project conception and design • Support for researchers involved in the Excellence Cluster in publishing academic texts, particularly