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assist the project leader in the research project – “Smart Holistic Insurance Enhancement using Learning Algorithms & Dialog Data (S.H.I.E.L.D.)”. They will be required to: (a) develop machine learning
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Center for Drug Evaluation and Research (CDER) | Southern Md Facility, Maryland | United States | about 15 hours 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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well as participate in using the quantum technology sensors Process, analyse and interpret data from the trials, using existing models and develop new techniques Collaborate with interdisciplinary teams to interpret
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the doctoral education. Research topic Technological change and digitalization are rapidly changing how health care services are provided and “consumed”. One important development is the recent emergence and
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, teaching, and student engagement in AI-for-Science courses and seminars. - Support the development and deployment of AI-driven tools for High-Performance Computing (HPC) applications. Qualifications
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to a deeply decarbonized and reliable energy system. The Postdoctoral Fellow will work closely with the project directors and collaborators to develop data-driven and economically grounded frameworks
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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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(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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Tairanga funded project ‘Evaluating a novel mode of rural midwifery service delivery’. This is an opportunity to develop research skills, with the support of the project leader, by contributing
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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