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Job Description Are you passionate about chemical theory and computation? Are you interested in the real-time (atto- to picosecond) dynamic changes in molecules when they undergo physical and
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, or a related field. Have documented experience in some of the following: Computational materials modelling or quantum mechanical simulations (e.g. DFT, MD). Machine learning / deep learning (preferably
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be asked to send an application to the PhD Secretariat, Faculty of Health Sciences, to be enrolled as PhD students. The PhD programme will be carried out in accordance with Faculty regulations and the
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and Society, Department of Geosciences and Natural Resource Management, University of Copenhagen. The group consists of 9 researchers including PhDs, post docs and tenured senior staff. We are working
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The Department of Environmental Science, Aarhus University, invites applications for a 2-year post doc position offering applicants an exciting opportunity to join a European research project on
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doctor-patient gaps, allow doctors to focus on more challenging tasks (vs. routine procedures), and offer greater convenience to patients. It is important to gear towards sustainable health informatics to
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infrastructures and relevant courses in epidemiology and statistics. Qualifications We are seeking a motivated and ambitious candidate with: • A Master’s degree (MD, MSc, or equivalent) in Public Health