Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- University of Bergen
- University of Oslo
- Imperial College London
- Northeastern University
- University of British Columbia
- Harvard University
- University of Michigan
- Genentech
- National University of Singapore
- ;
- AbbVie
- Humboldt-Stiftung Foundation
- King Abdullah University of Science and Technology
- Nature Careers
- Ryerson University
- SciLifeLab
- University of Michigan - Ann Arbor
- Australian National University
- Boston College
- CRANFIELD UNIVERSITY
- Carnegie Mellon University
- George Mason University
- Georgetown University
- Hiroshima University
- KEK
- KINGS COLLEGE LONDON
- King's College London
- RMIT University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Simons Foundation/Flatiron Institute
- The University of Iowa
- University of Adelaide
- University of Cincinnati
- University of Massachusetts
- University of Nottingham
- University of Saskatchewan
- University of South-Eastern Norway
- University of Stirling
- University of Tasmania
- University of Texas at Austin
- University of Waterloo
- 32 more »
- « less
-
Field
-
. Responsibilities will include image data processing and analysis of PET data, and may include fMRI or DWI (MRI) data processing and analysis in tandem with PET data. Opportunities exist for integration of imaging
-
Computer Science, Electrical & Electronic Engineering, or equivalent. Background knowledge in signal representation/processing, data-driven and machine learning/analysis, esp in climate related topics. Prior
-
themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
-
themes are not covered, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML
-
, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
-
, including conventional medical imaging). Examples include Bayesian optimization for molecular or materials design; machine learning for single cell data; physics-based ML for turbine design and
-
for all functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 24th July 2025 Languages English English English PhD Research Fellow in Machine Learning
-
in NLP. Completed a PhD or equivalent qualification or research experience in machine learning, natural language processing and image processing. Emerging track record and recognition for quality
-
looking for postdoctoral researchers in the area of computer vision, AI, and machine learning. The initial appointment will be for 2 years with a possible extension with a tentative start date in January
-
cerebral organoid models to study the impact of environmental exposures on metabolostasis and proteostasis Build and validate machine learning models (in collaboration) for molecular data analysis and