Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Texas A&M University
- Delft University of Technology (TU Delft)
- Aarhus University
- UNIVERSITY OF VIENNA
- University of Oxford
- Oak Ridge National Laboratory
- CNRS
- Stanford University
- Carnegie Mellon University
- Cornell University
- University of North Carolina at Chapel Hill
- University of Washington
- Wageningen University & Research
- Yale University
- EPFL
- NEW YORK UNIVERSITY ABU DHABI
- Princeton University
- Chalmers University of Technology
- Harvard University
- Pennsylvania State University
- Argonne
- Duke University
- University of Minnesota
- Bowdoin College
- Queen Mary University of London
- Technical University of Munich
- Umeå University
- Utrecht University
- Helmholtz Association of German Research Centres
- King's College London
- Leiden University
- Maastricht University (UM)
- Rutgers University
- SciLifeLab
- UNIVERSITY OF HELSINKI
- University of Lund
- University of Luxembourg
- University of Oxford;
- Eindhoven University of Technology (TU/e)
- THE UNIVERSITY OF HONG KONG
- University of Amsterdam (UvA)
- University of Sydney
- Aalborg University
- Copenhagen Business School
- FAPESP - São Paulo Research Foundation
- Iowa State University
- KU LEUVEN
- St Jude Children's Research Hospital
- The University of Arizona
- University of Copenhagen
- University of Liverpool
- University of Miami
- University of New South Wales
- University of Turku
- University of Vienna
- Virginia Tech
- Forschungszentrum Jülich
- Human Technopole
- Institut Pasteur
- Luleå tekniska universitet
- Lunds universitet
- McGill University
- Mälardalen University
- Northeastern University
- Queen Mary University of London;
- Radboud University
- The Ohio State University
- University College Cork
- University of California Irvine
- University of Florida
- University of London
- University of Utah
- VIB
- Brookhaven National Laboratory
- Durham University
- Erasmus University Rotterdam
- GFZ Helmholtz-Zentrum für Geoforschung
- Heriot Watt University
- ICN2
- Imperial College London
- KTH Royal Institute of Technology
- Linköping University
- Lulea University of Technology
- Luxembourg Institute of Health (LIH)
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Macquarie University
- National Aeronautics and Space Administration (NASA)
- Naturalis
- Texas A&M AgriLife
- UNIVERSITY OF SYDNEY
- University of California
- University of California, Merced
- University of Cambridge;
- University of Central Florida
- University of Jyväskylä
- University of Oregon
- University of Oslo
- University of Oulu
- University of Twente (UT)
- Uppsala universitet
- 90 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Economics
- Chemistry
- Mathematics
- Environment
- Earth Sciences
- Materials Science
- Psychology
- Humanities
- Electrical Engineering
- Social Sciences
- Physics
- Education
- Business
- Philosophy
- Arts and Literature
- Law
- Linguistics
- Sports and Recreation
- 13 more »
- « less
-
successful in this role, you will hold (or be close to completing) a PhD/DPhil in machine learning, artificial intelligence, computer science, epidemiology, health data science, or a related quantitative
-
consortium connects AI model development directly to large-scale microbiome data generation, microbial culture collections, greenhouse experiments and field validation. More information For more information
-
ice, using a framework consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ
-
applicable. Preferred Qualifications PhD in data science, and/or public health or related fields including health services research, health informatics, computer science. Experience in data analysis using
-
to manage, organize, and back up large amounts of image and tabular data generated by program and collaborator labs. Other Requirements: -May have to work on the weekend and/or after normal hours. -Travel is
-
researcher who enjoys developing methods for complex biological data and working closely with experimental scientists. You meet the following criteria: a PhD, or a PhD close to completion, in machine learning
-
employees, including 120 teachers and 120 PhD students. Approximately 5,000 undergraduate students take one or more courses at the department each year. You can find more information about us on the
-
statistical and machine learning methods applied to large claims and electronic health record databases and multimodal data, including physiological waveforms and medical imaging. We foster a collaborative and
-
of research investigating cancer risk and prevention. The appointee will work closely with Professor Ruth Travis, Dr Karl Smith-Byrne and other members of the research team, using large-scale epidemiological
-
and spatial analysis techniques to large-scale spatial transcriptomics and imaging datasets, using tools such as MuSpAn to identify spatial biomarkers and uncover the biological mechanisms driving