Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- Netherlands
- France
- Sweden
- United Arab Emirates
- Germany
- Denmark
- Morocco
- Spain
- Finland
- Australia
- Switzerland
- Belgium
- Canada
- Luxembourg
- Ireland
- Japan
- Norway
- Poland
- Brazil
- Austria
- Saudi Arabia
- Hong Kong
- China
- Italy
- Czech
- Portugal
- Taiwan
- Cyprus
- Europe
- Iceland
- Israel
- Mexico
- New Zealand
- South Africa
- 26 more »
- « less
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- New York University
- Princeton University
- University of Oxford
- CNRS
- Oak Ridge National Laboratory
- Stanford University
- University of South Carolina
- Rutgers University
- Cornell University
- University of North Carolina at Chapel Hill
- AALTO UNIVERSITY
- Duke University
- Texas A&M University
- University of Washington
- Argonne
- Northeastern University
- University of Miami
- University of Kentucky
- Carnegie Mellon University
- Technical University of Munich
- Aalborg University
- University of Luxembourg
- KINGS COLLEGE LONDON
- The Ohio State University
- University of Florida
- Loyola University
- Technical University of Denmark
- Texas A&M AgriLife
- Chalmers University of Technology
- Stony Brook University
- Baylor College of Medicine
- Delft University of Technology (TU Delft)
- U.S. Department of Energy (DOE)
- KTH Royal Institute of Technology
- Pennsylvania State University
- The University of Arizona
- University of Oxford;
- Virginia Tech
- Yale University
- Chalmers tekniska högskola
- National Aeronautics and Space Administration (NASA)
- University of California
- University of Maine
- University of Minnesota
- University of Sydney
- Brookhaven Lab
- Delft University of Technology (TU Delft); Delft
- ETH Zürich
- Empa
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Inria, the French national research institute for the digital sciences
- Kennesaw State University
- King Abdullah University of Science and Technology
- King's College London
- Massachusetts Institute of Technology
- Medical College of Wisconsin
- Purdue University
- SUNY University at Buffalo
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF VIENNA
- University of Nevada, Reno
- University of Southern Denmark
- University of Texas at Arlington
- Villanova University
- Brookhaven National Laboratory
- Forschungszentrum Jülich
- Leibniz
- MUNSTER TECHNOLOGICAL UNIVERSITY
- McGill University
- RIKEN
- University of Bergen
- University of Lund
- University of Texas at Dallas
- University of Turku
- University of Twente
- Washington University in St. Louis
- Boston University
- Eindhoven University of Technology (TU/e)
- Heidelberg University
- Radboud University
- Saint Louis University
- THE UNIVERSITY OF HONG KONG
- Umeå University
- University of California Berkeley
- University of Idaho
- University of North Texas at Dallas
- University of Twente (UT)
- University of Virginia
- ;
- Aarhus University
- Baylor University
- Bucknell University
- Delft University of Technology (TU Delft); yesterday published
- Emory University
- Fred Hutchinson Cancer Center
- Free University of Berlin
- 90 more »
- « less
-
Field
-
, fluorescence in situ hybridization, and bioinformatics. Preferred Qualifications Molecular biology and genetics laboratory experience; web computer skills; ability to learn new techniques and procedures
-
and trustworthy machine learning-based clinical prediction models. Funded by the Medical Research Council (MRC) and the National Institute for Health and Care Research (NIHR), the project aims
-
. Department Specific Functions Research and Development: Develop and apply AI and machine learning models to analyze large-scale cancer datasets, including genomics, transcriptomics, and proteomics data. Data
-
developing new machine learning methodologies that tackle unique computational problems in healthcare applications. We use large real-world complex datasets, including data extracted from electronic health
-
Responsibilities Conduct and disseminate research on human-computer interaction, with interest and focus on considering learning aspects in design; or in educational technology with interest and focus on interaction
-
the application of machine learning techniques (e.g., doc2vec, encoder models, multi-modal embeddings, large language models) to map concepts and their relationships, tracing how they change, merge, or diverge
-
to contribute to cutting-edge research in robot intelligence, machine learning, and AI-driven manipulation. This position offers the opportunity to work on real-world robotic systems and develop novel algorithms
-
, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race
-
-relationships, materials optimization, materials under extreme conditions, and generative AI. Candidates must possess substantial experience in artificial intelligence and machine learning methods, specifically
-
work to discover cell specific isoforms and relate them to pathological signatures and genetic risk factors in ALS patient tissue. You will apply supervised and unsupervised machine learning methods