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Field
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aims to develop and test fundamental theory in applied organisational research. It covers issues from the micro to the macro level of analysis. The programme has two “centres of gravity” that provide
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of metabolic network modelling linked to epigenetics Carry out machine learning, and integrative analysis of large epigenome datasets Communicate research results in international conferences and journals Work
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collaborations Confident handling of Linux-based data analysis Good knowledge of statistical data analysis Excellent knowledge of English Ability to work in project teams Creative problem solving skills Good self
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Science, or related disciplines. You have an aptitude for experimental research and data analysis. Experience with programming and/or mathematical modelling is an advantage. Excellent written and oral
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engineering, applied physics, or applied mathematics, with proven experience (courses, projects, and work experience) in the field of wind energy or aerospace engineering. A combination of good mathematical and
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, or applied mathematics, with proven experience (courses, projects, and work experience) in the field of wind energy or aerospace engineering. A combination of good mathematical and analytical skills, a strong
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 3 months ago
complemented by Monte Carlo simulations, triple collocation analysis and data assimilation to develop a frame work for the operational processing and data fusion to finally derive 3- dimensional (dim), and where
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Infrastructure? No Offer Description Work group: IBG - Institut für Bio- und Geowissenschaften Area of research: Promotion Job description: Your Job: You will work as a doctoral researcher within one of four
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providing world-class professional development and networking opportunities that strengthen both research outcomes and student success. The Applied Informatics group is part of the School of Computing
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applications in forecasting, system optimization, flexibility management, and resilience analysis. The work will be carried out in close collaboration with our interdisciplinary teams at both Empa and EPFL, as