Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Oslo
- Nanyang Technological University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Harvard University
- INESC TEC
- Northeastern University
- University of Bergen
- University of Arkansas
- University of British Columbia
- INESC ID
- Indiana University
- Loyola University
- Plymouth University
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- Universidade do Minho
- University of New South Wales
- University of Nottingham
- Bowdoin College
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- LINGNAN UNIVERSITY
- NTNU Norwegian University of Science and Technology
- UNIVERSITY OF SYDNEY
- UiT The Arctic University of Norway
- University of Beira Interior
- University of Kansas Medical Center
- University of Manchester
- University of Minho
- University of South Carolina
- University of Texas at Austin
- ADELAIDE UNIVERSITY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Aarhus University
- Brunel University
- CIC bioGUNE
- Carnegie Mellon University
- Cornell University
- Dalhousie University
- Dana-Farber Cancer Institute (DFCI)
- Durham University
- ETH Zürich
- European Space Agency
- FCiências.ID
- Francis Crick Institute
- Humboldt-Universität zu Berlin
- Johns Hopkins University
- King Abdullah University of Science and Technology
- King's College London
- Lawrence Berkeley National Laboratory
- Max-Planck-Institut für Bildungsforschung
- Montana State University
- NTNU - Norwegian University of Science and Technology
- OCAD University
- SUNY University at Buffalo
- Simons Foundation/Flatiron Institute
- Tohoku University
- UCL EE
- UCL;
- Universidade de Coimbra
- University of Alabama, Tuscaloosa
- University of Colorado
- University of Denver
- University of Glasgow
- University of Idaho
- University of North Carolina at Chapel Hill
- University of North Carolina at Charlotte
- University of Rhode Island
- University of South-Eastern Norway
- Zintellect
- 58 more »
- « less
-
Field
-
for this position, the following is required: PhD in data or computer science, machine learning, AI, statistics, mathematics, biophysics, bioinformatics. Additional requirements In addition to your CV and your
-
. The objective is to further develop and validate machine-learning surrogate models derived from high-fidelity multiphysics simulations of reactor transients and quantify how surrogate uncertainties propagate
-
knowledge-grounded reasoning with flexible machine learning Tools that reduce manual burden while preserving traceability and clinical interpretability This position offers the opportunity to publish novel
-
of novel computational/biostatistical/machine learning methods for the integration of multiple, diverse dataset and the synthesis of hypotheses around the molecular mechanisms that drive the co-occurring
-
the following training will be considered PhD in computer science, machine learning, AI or related computational field, or, Ph.D. in a health-related discipline with experience in experimental science, devices
-
, organised researcher who can evidence: A PhD, or equivalent in statistics, machine learning or a closely related discipline, OR near to completion of a PhD. Expert knowledge of statistical inference methods
-
Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, or a closely related technical field. Demonstrated knowledge of or interest in Indigenous Knowledge Systems and interest in applying IKS
-
toward quickly identifying a safe and effective combination of drugs for the patient. Success in such a project would require a working knowledge of concepts from biology, common experimentation workflows
-
machine learning is an advantage but is not required. Experience with the design and implementation of survey-experiments is an advantage but not a requirement. Alongside developing their own research ideas
-
simulations combined with physics-informed machine learning will also be examined. Several research and industrial partners are a part of this project. The ideal candidate would combine strong computational