Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Harvard University
- University of Oslo
- Northeastern University
- Macquarie University
- Cornell University
- University of British Columbia
- Nanyang Technological University
- Indiana University
- Nature Careers
- Carnegie Mellon University
- City of Hope
- ;
- Dana-Farber Cancer Institute
- King Abdullah University of Science and Technology
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- National University of Singapore
- UiT The Arctic University of Norway
- University of Maryland, Baltimore
- AbbVie
- Barnard College
- CMI - Chr. Michelsen Institute
- Hong Kong Polytechnic University
- James Cook University
- Johns Hopkins University
- Lawrence Berkeley National Laboratory
- Lund University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NTNU Norwegian University of Science and Technology
- RMIT UNIVERSITY
- RMIT University
- Ryerson University
- SUNY University at Buffalo
- SciLifeLab
- Tampere University
- Technical University of Munich
- The California State University
- The University of British Columbia (UBC)
- The University of Memphis
- UNIVERSITY OF SOUTHAMPTON
- University of California
- University of Cincinnati
- University of Idaho
- University of Michigan
- University of New South Wales
- University of North Carolina at Charlotte
- University of Nottingham
- University of Oxford
- University of Tasmania
- University of Texas at Austin
- University of Warwick;
- Victoria University
- Vrije Universiteit Brussel
- Wayne State University
- 43 more »
- « less
-
Field
-
learning, as well as in digital signal processing and acoustic imaging. The group includes around 20 postdoctoral researchers and PhD research fellows funded by a range of national and international agencies
-
deep learning (segmentation and foundation-model architectures) Demonstrated ability to design and execute technical projects Scientific independence with clear interest in biological mechanisms and
-
Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi
-
processing, artificial intelligence, cognition and deep learning, machine learning, navigation and mapping, autonomous driving, assistive robotics, drones, dynamics and vibration, acoustics, medical imaging
-
research, formulate hypotheses, and design effective experimental plans. Strong programming skills with deep learning frameworks (e.g., PyTorch). We regret that only shortlisted candidates will be notified
-
enrichment (GO, KEGG), network analysis, genome assembly and binning, systems biology, and multi-omics integration. Apply statistical modelling, machine learning, and deep learning approaches for biomarker
-
related to creating or testing deep learning models for genomics, exploring new techniques related to spatial simulations, or other topics discussed with the PI. Basic Qualifications Core job duties include
-
of generative AI, deep learning, and inverse problems. For Grade 7, the successful applicant is not required to have post-qualification research experience, but will hold or be close to completion of a relevant
-
opportunity to field test and validate their methods using real-world systems. Postdoctoral fellows will work across the following research areas: Predictive machine learning Robust and stochastic optimization
-
Informatics, Health Data Science, Biostatistics, or a closely related area. Strong ML/deep learning foundation plus expertise in at least one of: multimodal learning, time-series modeling, or NLP. Demonstrated