Sort by
Refine Your Search
-
Country
-
Employer
- Harvard University
- Zintellect
- University of Oslo
- University of British Columbia
- City of Hope
- Indiana University
- The University of Queensland
- Cornell University
- University of Bergen
- Dana-Farber Cancer Institute (DFCI)
- Northeastern University
- University of New South Wales
- University of Texas at Austin
- Hong Kong Polytechnic University
- King Abdullah University of Science and Technology
- Nanyang Technological University
- University of Arkansas
- University of California
- Barnard College
- Carnegie Mellon University
- Ellison Institute of Technology
- Loyola University
- University of North Carolina at Charlotte
- Aarhus University
- Central Michigan University
- Johns Hopkins University
- LINGNAN UNIVERSITY
- Lawrence Berkeley National Laboratory
- Max Planck Institute of Biochemistry, Martinsried
- NTNU - Norwegian University of Science and Technology
- NTNU Norwegian University of Science and Technology
- University of Colorado
- University of Maryland, Baltimore
- University of Michigan
- University of Notre Dame
- University of Nottingham
- University of South Carolina
- University of Sydney
- ;
- American University
- Birkbeck University of London
- Birkbeck, University of London;
- CIC bioGUNE
- Cori Institute of Molecular and Computational Metabolism
- Dalhousie University
- ETH Zürich
- FEUP
- Florida Atlantic University
- Francis Crick Institute
- Georgia Southern University
- Lingnan University, Hong Kong;
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Macquarie University
- Marquette University
- Max-Planck-Institut für Bildungsforschung
- Mayo Clinic
- Monash University
- Montana State University
- National Center for Toxicological Research (NCTR)
- OCAD University
- Oden Institute for Computational Engineering and Sciences
- Pennsylvania State University
- Research Center for Molecular Medicine (CeMM), ÖAW
- Ryerson University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- School of Sciences
- SciLifeLab
- Shanghai Jiao Tong University
- Stephen & Denise Adams Center for Parkinson's Disease at Yale School of Medicine
- Technical University of Munich
- The Francis Crick Institute;
- Tohoku University
- Tsinghua University
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- UiT The Arctic University of Norway
- University of Alabama, Tuscaloosa
- University of California, San Diego
- University of Denver
- University of Exeter;
- University of Idaho
- University of Kansas Medical Center
- University of Michigan (U-M)
- University of New Mexico
- University of Otago
- University of Rhode Island
- University of Science and Technology of China
- University of St Andrews;
- University of Stirling
- University of Texas Rio Grande Valley
- University of Toronto
- University of Tübingen
- University of Waterloo
- Visterra, Inc.
- Weill Cornell Medicine
- 85 more »
- « less
-
Field
-
will work across the following research areas: Predictive machine learning Robust and stochastic optimization Learning-enabled control and reinforcement learning Power system operations, planning, and
-
for cell transplantation therapies in animal models of Alzheimer's disease, stroke, and epilepsy. To achieve this goal, the candidate will combine a gene network-based approach with a machine learning model
-
, interventional effects, multiple mediation), and advanced longitudinal modelling (mixed-effects models, growth curve models, latent class trajectories) with machine learning and AI-based approaches. The Lab is
-
opportunities within the company. Responsibilities Develop and implement advanced computational and machine learning strategies, including deep learning, graph-based methods, and probabilistic modeling
-
data-driven engineering methods, particularly those leveraging artificial intelligence or machine learning. Key Responsibilities & Accountabilities 1. Initiate, Execute, and Complete Advanced
-
Geosciences division is hiring an Autonomous Material Processing Postdoctoral Fellow to help transform how critical materials are produced. In this role, you'll bring together machine learning, real-time
-
at the crossing of statistics and machine learning. The focus of this postdoctoral fellowship is to conduct cutting-edge research on AI-based forecasting and analytics for shipbroking and maritime decision support
-
the characterization, safety, biocompatibility, and performance of nanomaterials used in regulated products. Learning Objectives: You will engage in structured research training under the mentorship of FDA scientists
-
Engineering, Biomedical Engineering, Medical Imaging, Signal Processing, Applied Physics, Computer Engineering, or a closely related discipline. Strong background in at least one of the following: ultrasound
-
of childhood allergic diseases. The candidate will develop machine learning–based biomarker prediction models to identify microbiome-derived signatures associated with allergy risk and immune tolerance outcomes