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character. The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer
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the Faculty of Social Sciences We now invite applications for the captioned post, who will involve in the Jockey Club End-of-Life Community Care Project (www.JCECC.hk ). Duties and Responsibilities Involve in
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longitudinal modelling utilising real-world health and healthcare data is essential. Key responsibilities Extract, link, clean and manage data from administrative health and healthcare data and other relevant
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to immediately improve healthcare in the community and the nation and influence policy direction for generations to come. This Opportunity The role will contribute to the delivery of clinical trials and related
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important international quality accreditations in its field. It aspires to be among the best business schools in Europe in terms of research excellence, a portfolio of pioneering B.Sc., M.Sc., Ph.D., and
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New Jersey’s academic health center, Rutgers Biomedical and Health Sciences (RBHS) takes an integrated approach to educating students, providing clinical care, and conducting research, all with the goal
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. Working closely with Associate Professor Ronald Castelino and a multidisciplinary research team, the successful candidate will play a leading role in the management and delivery of the research program
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-pharmacological intervention, and will be responsible for data management and analysis, preparation of research reports and high-quality manuscripts, development of proposals and research design, liaisons with
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physical and electronic datasets. Key responsibilities include preparing high-quality peer-reviewed scientific manuscripts, drafting grant proposals, developing IACUC, IBC, and IRB protocols, and
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Postdoctoral Research Assistant, you will play an important role in supporting the Chronic Pain Research Group's mission to improve the identification and management of neuropathic pain. You will work closely