Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- Harvard University
- University of British Columbia
- Northeastern University
- University of Michigan
- Genentech
- Nature Careers
- University of Bergen
- AbbVie
- Humboldt-Stiftung Foundation
- King Abdullah University of Science and Technology
- National University of Singapore
- Ryerson University
- SciLifeLab
- University of Michigan - Ann Arbor
- University of Nottingham
- ;
- Australian National University
- Boston College
- CRANFIELD UNIVERSITY
- Carnegie Mellon University
- Cornell University
- Cranfield University
- George Mason University
- Georgetown University
- Hiroshima University
- Imperial College London
- KINGS COLLEGE LONDON
- King's College London
- NTNU - Norwegian University of Science and Technology
- RMIT University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Simons Foundation/Flatiron Institute
- Singapore University of Technology & Design
- The University of Iowa
- UiT The Arctic University of Norway
- University of Adelaide
- University of Cincinnati
- University of London
- University of Massachusetts
- University of Stirling
- University of Texas at Austin
- University of Waterloo
- 33 more »
- « less
-
Field
-
the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
-
the role Overview of the role We are seeking a highly motivated Research Fellow in Machine Learning to join the PharosAI team, focusing on developing novel machine learning methods in computer vision
-
10 minutes and machine learning algorithms to deliver quantitative diagnosis without destroying the samples. The AF-Raman prototype will be integrated and tested in the operating theatre
-
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
-
. 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
-
apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
-
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
-
balance of supervised investigation and work experience in a learning environment that will expose the participant to activities across the drug development process. We are seeking scientists from U.S
-
, or other related fields. Solid Mathematical skills. Experience in implementing algorithms for machine learning and natural language processing-related applications (It would be good if the candidate can also
-
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