Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- King's College London
- University of Oslo
- Harvard University
- University of British Columbia
- Johns Hopkins University
- University of Washington
- Aarhus University
- Carnegie Mellon University
- Ellison Institute of Technology
- Francis Crick Institute
- Indiana University
- King Abdullah University of Science and Technology
- Max-Planck-Institut für Bildungsforschung
- Montana State University
- Nanyang Technological University
- Northeastern University
- RUĐER BOŠKOVIĆ INSTITUTE
- The Francis Crick Institute
- The Infinity Fellowship
- UiT The Arctic University of Norway
- University of Aveiro
- University of Michigan
- University of Michigan - Ann Arbor
- University of Rhode Island
- University of Science and Technology of China
- University of Stavanger
- University of Tübingen
- Washington University in St. Louis
- Weill Cornell Medicine
- 19 more »
- « less
-
Field
-
Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL), particularly in Natural Language Processing (NLP) and Computer Vision (CV) Familiarity with genomic and bioinformatic databases
-
candidates, we may use the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. Artificial intelligence (AI) is evolving rapidly, and we recognise its
-
mathematical structures and computational algorithms underlying modern machine learning and artificial intelligence. Relevant themes include geometric and algebraic methods for learning, structure-preserving
-
the desirable criteria to choose our final shortlist, so please include your evidence against these where possible. Artificial intelligence (AI) is evolving rapidly, and we recognise its growing role in
-
to choose our final shortlist, so please include your evidence against these where possible. Artificial intelligence (AI) is evolving rapidly, and we recognise its growing role in professional work
-
include your evidence against these where possible. Artificial intelligence (AI) is evolving rapidly, and we recognise its growing role in professional work. Applicants may use AI tools to support
-
, livestock, and human quantitative genetics. Our focus areas include quantitative genetics, artificial intelligence applied to agriculture and precision medicine, population genetics, and integrative genomics
-
School is conducting research at the interface human and artificial intelligence. We create methods and tools that enable humans and machines alike to interact with and generate insights from biomedical
-
to cutting-edge research on collaborative learning, multimodal learning analytics, and artificial intelligence. The position offers substantial opportunities to develop an independent research agenda within
-
of this role is to advance standard test methods, metrics, and evaluation tools for artificial intelligence, machine learning, and advanced autonomy within human-robot environments, ensuring these systems