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interaction. The PhD student will work together with project participants, other PhD students and Master students, as well as local, national, and international collaborators Jon Terje Hellren Hansen, Ingun
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 19 hours ago
dynamics models to develop new BE methods for locally acting drug products administered via non-oral routes. Population PK modeling to support more effective in vivo study designs and methods for evaluating
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Case presentations and weekly lectures Professional Development and Research: Critically review and evaluate new research Participate in quality improvement initiatives Present at national meetings and
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30.06.2026 Hva er en cookie? En cookie er en liten datafil som lagres på datamaskinen, nettbrettet eller mobiltelefonen din. En cookie er ikke et program som kan inneholde skadelige programmer eller virus
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process by international reviewers. The candidates will be informed about the decision around mid-February 2025. Your Responsibilities Develop and implement your research project Build up your own research
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that is to be implemented: Group 1: Implementation of new practice guidelines Group 2: Implementation of new eHealth technologies Group 3: Implementation of new practice roles In addition, we have developed
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Program Director will report to the EMS Division Director, and the successful candidate will have administrative support and professional development opportunities supported by the Department of Emergency
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for sustainable change and equitable social development, through new ways of managing natural resources and facilitating better cities and local communities. Energy, health and welfare, learning for life are our
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Rouge River. The project will use both statistical and dynamical downscaling of near-term climate model projections to develop local precipitation models to allow the team to simulate future risks of
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estimation to begin in Spring/Summer 2026. The successful applicant will develop and implement data-driven tools, underpinned by scientific machine learning and reduced-order modeling, for ocean state