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, please review these frequently asked questions . Current Employees and Students: If you are currently employed or enrolled as a student at The Ohio State University, please log in to Workday to use
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for vulnerable population groups across Africa. Your responsibilities will include: Analyzing current advances, critical gaps, and opportunities in impact-based forecasting, with a focus on underrepresented
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combines HPC service provision and R&D into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC
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. About the project The current project is aiming at developing novel human models for childhood dementia CLN3 to recapitulate disease progression and explore novel promising gene therapy strategies
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interest groups in these areas. The BfR thus makes an important contribution to the protection of human health. The position is part-time, with 65% of the regular weekly working hours (currently 25.35 hours
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performed in cell culture or animal models. Department of Human Movement Sciences The Department of Human Movement Sciences performs research on the human musculoskeletal system, on the way people move, and
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source fat and protein, especially in the context of reduced consumption of animal-source foods that currently supply a large share of the macronutrients. The goal of the PhD work is to contribute to a
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 21 days ago
experiments and measuring reaction rates in beach sediments applying and developing numerical and empirical transport-reaction models publishing results in scientific journals and communicating them to non
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automatic milk feeders (AMF) and accelerometers have shown promising potential, but no integrated, operational solution is currently available for producers. Objective of the PhD Project : This project aims
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Intelligence (AI) and machine learning (ML) techniques. You will develop AI-based predictive models to anticipate user engagement, primarily using data collected through unobtrusive measurements (e.g., websites