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Field
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Appointment Staff - 12 month Position Pension Eligibility PERS Qualifications Minimum Education and Experience Candidates must be currently enrolled in a Ph.D. program in Molecular & Life Science. Experience in
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to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry
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in regular team meetings and contribute to data analysis discussions. Work can be completed remotely/hybrid Qualifications Enrollment in a PhD program in education, social sciences, or a related field
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biomedical science and/or medicine. You will have led research projects in the past and have an interesting record of peer-reviewed publications. Proficiency in a high-level programming language is required as
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research with possible continuation as a research assistant or in a possible PhD degree programme Place of employment and place of work The place of work is the Department of Animal and Veterinary Sciences
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) is available within the research group FOR 5456 of the German Science Foundation (DFG). The overarching goal is the first implementation of satellite-based relativistic geodesy using optical atomic
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identification of spider mite infestation foci and needs-based beneficial insect application in outdoor cucumber cultivation’, which is funded by the BMBF within the funding programme KMU-innovativ: Bioökonomie
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to the development of the Department’s research strength; (c) undertake teaching duties at various levels; (d) provide leadership in developing a programme, a subject discipline or a research programme, etc.; (e
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sports programme with over 100 different sports, as well as a fitness centre with a sauna and climbing space. Health management measures, such as courses on stress management, good nutrition and
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in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify