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Academic Job Category Faculty Non Bargaining Job Title Postdoctoral Research Fellow, Machine Learning Department Cooper Laboratory | Department of Orthopaedics | Faculty of Medicine (Anthony Cooper
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Details Title Postdoctoral Fellowship in Differentially Private Learning and Replicability School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer
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The Australian Plant Phenomics Network (APPN): Based at the School of Agriculture and Food Sustainability Full-time (100%), fixed-term position until 31 December 2027 Base salary will be in the range $83,698.91 - $111,431.10 + 17% Superannuation (Academic Level A) Based at our St Lucia...
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The National Institute of Education invites suitable applications for the position of Research Fellow on a 6-month contract at the Science of Learning in Education Centre. Project Title: DRivers
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computer science. About the Group The Data Intelligence Group at UM6P-CC is a growing and supportive team with internationally recognized expertise in data management and machine learning. The group has a
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Details Title Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position
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techniques. You will have the opportunity to participate in various projects utilizing artificial intelligence (AI) and machine learning (ML) to develop applications that optimize combat casualty care
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 3 hours ago
image processing, disease detection, diagnosis, and therapeutic monitoring. The program addresses critical regulatory challenges posed by AI devices that can continuously learn and adapt, including
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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collaborators. The position is part of the ERC Starting Grant “Actively learning experimental designs in terrestrial climate science (ACTIVATE)”: https://www.mn.uio.no/geo/english/research/projects/activate