Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- Sweden
- Denmark
- France
- Germany
- Morocco
- Netherlands
- United Arab Emirates
- Belgium
- Luxembourg
- Australia
- Hong Kong
- Spain
- Norway
- Singapore
- Brazil
- Finland
- Ireland
- Italy
- Poland
- Switzerland
- Japan
- Mexico
- Canada
- Portugal
- Saudi Arabia
- Austria
- Benin
- Bulgaria
- China
- Cyprus
- Iceland
- Israel
- Latvia
- New Zealand
- Slovakia
- Slovenia
- South Africa
- Taiwan
- Vietnam
- Worldwide
- 32 more »
- « less
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Oxford
- Argonne
- Cornell University
- University of Miami
- NEW YORK UNIVERSITY ABU DHABI
- Duke University
- New York University
- CNRS
- Oak Ridge National Laboratory
- Rutgers University
- Aarhus University
- Stanford University
- University of North Carolina at Chapel Hill
- Chalmers University of Technology
- University of Luxembourg
- THE UNIVERSITY OF HONG KONG
- Stony Brook University
- Technical University of Denmark
- University of South Carolina
- University of Texas at Arlington
- University of Washington
- Carnegie Mellon University
- Technical University of Munich
- University of Minnesota
- University of Oxford;
- Texas A&M University
- University of Oslo
- Brookhaven National Laboratory
- National Aeronautics and Space Administration (NASA)
- Singapore-MIT Alliance for Research and Technology
- Aalborg University
- FAPESP - São Paulo Research Foundation
- Harvard University
- Loyola University
- The Ohio State University
- University of Kentucky
- University of Sydney
- KTH Royal Institute of Technology
- Purdue University
- SUNY Polytechnic Institute
- SciLifeLab
- University College Cork
- University of Amsterdam (UvA)
- Villanova University
- Boise State University
- Inria, the French national research institute for the digital sciences
- Michigan State University
- Texas A&M AgriLife
- Umeå University
- University of Lund
- University of Nevada, Reno
- VIB
- Angelo State University
- Argonne National Laboratory
- Forschungszentrum Jülich
- Lehigh University
- Leibniz
- Lunds universitet
- Pennsylvania State University
- Princeton University
- UNIVERSITY OF SYDNEY
- University of Idaho
- University of Maryland, Baltimore
- University of New Hampshire – Main Campus
- University of Oregon
- Utrecht University
- AALTO UNIVERSITY
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Aston University
- Center for Biologics Evaluation and Research (CBER)
- Delft University of Technology (TU Delft)
- Deutsches Elektronen-Synchrotron DESY
- ETH Zürich
- Eindhoven University of Technology (TU/e)
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- IMT Atlantique
- Indiana University
- King Abdullah University of Science and Technology
- Lawrence Berkeley National Laboratory
- Linköping University
- Luxembourg Institute of Science and Technology
- Massachusetts Institute of Technology
- Plymouth University
- Queen Mary University of London;
- Radboud University
- SUNY University at Buffalo
- Saint Louis University
- Sveriges Lantbruksuniversitet
- The University of Iowa
- Tilburg University
- Télécom Paris
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- Umeå universitet
- University of Basel
- University of California
- University of Cambridge;
- University of Central Florida
- 90 more »
- « less
-
Field
-
modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
-
, Materials Science, Engineering Mechanics, Manufacturing Engineering, Mechanical Engineering, Artificial Intelligence/Machine Learning, or a related field completed within the last 5 years Preferred
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
our group at the intersection of statistical methodology, machine learning, and biomedical data science. Our research develops rigorous and interpretable methods for high-dimensional biomedical data
-
established in the areas of electronic and electromagnetic simulation and design, machine learning and artificial intelligence in electrical engineering, electrical low-frequency and high-frequency measurement
-
programming, large-scale optimization, and simulation-based optimization; and/or Expertise 2: Experience with general methods in artificial intelligence and machine learning, including reinforcement learning
-
). - Familiarity with machine learning principles and generative/classification models (PyTorch Lightning, torch, scikit-learn, etc.), as well as data/model analysis methods (PCA, t-SNE, etc.). - Proficiency in
-
Data Scientist (Artificial Intelligence). We now invite applications for the captioned post. Duties and Responsibilities Develop and apply advanced artificial intelligence and machine learning models
-
fellows will receive joint mentorship from leading experts in metabolic biology, AI and machine learning, drug delivery, and translational medicine, while maintaining full academic independence in research
-
–functional modeling of root system architecture. Phenomics data integration and high-dimensional trait analysis. Predictive breeding and quantitative genetic modeling. Machine learning approaches to genotype
-
imaging specialist – experience in quantitative image analysis, scattering modeling, signal processing, machine learning, or neural-network-based data interpretation. The project is closely connected