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Research Fellow in Intervention Development to join the Big Data in Health Grou About us Our big data in health team at the University of Southampton is based in the Primary Care Research Centre. We
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for autonomous systems. Our focus lies on safety-critical applications in the fields of automation, mobility and health. We develop reliable software technologies with a benefit for humans. For example, we conduct
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, algorithm implementation, programming from a variety of biotechnology platforms, and oversee quality check. Design and prepare materials and courses for training on various bioinformatics software and
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to remove PFAS. To accomplish these goals, the candidate will participate in the development of AI/ML algorithms for the prediction of chemical properties, infrared and mass spectra, and ionization cross
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gradient flow methods hold significant potential for the development of sampling algorithms. The research goals are structured into the following primary tasks: Parameter identification: The problem
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University of Massachusetts Medical School | Shrewsbury, Massachusetts | United States | 12 days ago
and outliers in claims and develop trends and patterns for potential cases. Develop algorithms, queries, and reports to detect potential FWA activity. Analyze member records and claims data to ensure
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EPSRC-funded project, MAPFSI that will be focused on developing experimentally-validated computational algorithms for fluid-structure interaction problems including multiphysics effect of electromagnetism
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develops, reviews and revises infection prevention and control policies and procedures in conjunction with departmental leaders to ensure alignment of current standards and guidelines. Ensure employees
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SPECIFICS The Department of Mechanical Engineering at The Pennsylvania State University is seeking a Postdoctoral Scholar to lead development of a modular laser absorption tomography (LAT) system
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We are seeking a Sr. Radiomics and AI Engineer who will be responsible for developing and implementing algorithms and software that can analyze medical images and extract clinically relevant