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models using a wide variety of data, including clinical, wearable devices, neuroimaging, and –omics data from electronic health record, registry, and research initiatives; and (2) develop and apply novel
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Apply now Job no:527504 Work type:Post Doc (Amherst Only) Location:UMass Amherst Department: Computer Science Union: Post Doc Categories:Postdoctoral Research Associate, Research, Manning College
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information science principles Proficiency in microwave and/or optical device characterization Desirable Skills: Expertise in quantum experiments, such as qubit control and entanglement Experience with quantum
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We are seeking to appoint a Researcher in Infectious Disease Modelling. You will be an integral part of the Pathogen Dynamics group at Oxford, led by Christophe Fraser, where the team focuses on understanding the spread and control of human infectious diseases using modelling and pathogen...
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Enhanced Collective Intelligence). The appointment is a specific purpose contract, to commence on 1st September 2025 or shortly thereafter. The successful candidate will have a background in Computer Science
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Quantum Information Science and Engineering (QISE). This prestigious fellowship is hosted by the Center for Quantum Information Science and Engineering (CQISE) at The Ohio State University. The ideal
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subject area for the research programme is essential. Demonstrable experience in computational biology, computer science, statistics or related field. Essential experience in scripting languages to support data
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experimental phonetics. Applicants should have completed a Ph.D. degree in relevant fields (acoustic phonetics, digital signal processing, computer science) by the time of appointment, and preferably previous
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Details Position Description The Urbanization and Health Lab at the University of Washington invites applications for a one-year (potentially renewable for a second year) full time postdoctoral researcher
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: Background in Data Science, Computer Science or related fields; Working experience in implementing AI models (not just loading pre-trained model). PyTorch framework is preferred; Experience with APIs