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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | 3 days ago
(PROs) represent the only quantitative tool available to assess tolerability of oncologic agents under development, providing unique insights into the patient experience of symptomatic adverse events
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(post F2) involved in acute primary or secondary care, this post offers you an excellent opportunity to develop your skills in medical education and join our inspiring team at the University of Liverpool
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, particularly in the areas of life cycle assessment (LCA) and eco-design. She will also be expected to participate in the development of multidisciplinary engineering education and research activities. She will
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Health Services and Data Science (Project: Development of Natural Language Processing and Item response Theory based systems for Patient Reported Outcomes Measurement) Optimizing the performance of health
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As a University of Applied Learning, Singapore Institute of Technology (SIT) works closely with industry partners to develop applied research capabilities that translate directly into real-world
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imaging) and development of novel imaging techniques (nuclear and molecular imaging, computational imaging, etc). With the formation of the National University Health System (NUHS), both clinical and
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collaborators, for a project focused on the development of a large external research grant application titled Gen(d)erations: Past stories, present perspectives and future approaches for trans and non-binary
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manage research datasets, including development of analytic workflows, REDCap data collection tools, algorithm development, and validation of NLP pipelines · lead the development of scholarly outputs
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in the development, validation, and optimization of 3D-printed Ship Hull and Connector System. This includes conducting finite element modeling, ship resistance and stability assessments, as
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on application logic rather than underlying algorithm development), and the capability of independently driving the full "Data-AI-Deployment" process; (c) the ability to evaluate the fit between AI applications