656 machine-learning "https:" "https:" "https:" "https:" "https:" Postdoctoral positions
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Netherlands
- Sweden
- United Arab Emirates
- France
- United Kingdom
- Germany
- Brazil
- Switzerland
- Belgium
- Denmark
- Ireland
- Spain
- Finland
- Poland
- Austria
- Hong Kong
- Italy
- Portugal
- Australia
- Canada
- China
- Czech
- Japan
- Luxembourg
- Morocco
- Afghanistan
- Europe
- India
- Latvia
- Mexico
- New Zealand
- Norway
- Saudi Arabia
- Singapore
- 25 more »
- « less
-
Employer
- Stanford University
- University of South Carolina
- NEW YORK UNIVERSITY ABU DHABI
- University of North Carolina at Chapel Hill
- Cornell University
- Rutgers University
- Northeastern University
- University of Texas at Arlington
- Princeton University
- University of Minnesota
- New York University
- FAPESP - São Paulo Research Foundation
- Loyola University
- University of Washington
- Bowdoin College
- Delft University of Technology (TU Delft)
- Duke University
- Inria, the French national research institute for the digital sciences
- Pennsylvania State University
- University of Florida
- Yale University
- CNRS
- Chalmers University of Technology
- Technical University of Munich
- EPFL
- Massachusetts Institute of Technology
- National Aeronautics and Space Administration (NASA)
- SUNY University at Buffalo
- University College Cork
- University of Manchester
- Aalborg University
- Eindhoven University of Technology (TU/e)
- SciLifeLab
- Umeå University
- University of California Irvine
- University of Central Florida
- Brookhaven National Laboratory
- Kennesaw State University
- U.S. Department of Energy (DOE)
- University of Idaho
- University of Twente (UT)
- AALTO UNIVERSITY
- Aarhus University
- Boise State University
- Forschungszentrum Jülich
- Harvard University
- KTH Royal Institute of Technology
- Michigan State University
- THE UNIVERSITY OF HONG KONG
- Texas A&M University
- The University of Arizona
- UNIVERSITY OF HELSINKI
- University of Arkansas
- University of California, Los Angeles
- University of Groningen
- University of Luxembourg
- University of Nevada Las Vegas
- University of Nevada, Reno
- University of Oxford
- University of Texas at Dallas
- Utrecht University
- Washington State University
- Baylor University
- Computer Vision Center
- ETH Zürich
- Empa
- European Space Agency
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Indiana University
- Institut Pasteur
- Institute of Bioorganic Chemistry Polish Academy of Sciences
- Istituto Italiano di Tecnologia
- Itä-Suomen yliopisto
- KU LEUVEN
- Karolinska Institutet (KI)
- Leiden University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Maastricht University (UM)
- Oak Ridge National Laboratory
- RIKEN
- Saint Louis University
- The Ohio State University
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF VIENNA
- Umeå universitet stipendiemodul
- University of Amsterdam (UvA)
- University of California, Merced
- University of North Carolina Wilmington
- University of North Texas at Dallas
- University of Utah
- Université de Caen Normandie
- VIB
- Villanova University
- Virginia Tech
- Washington University in St. Louis
- ;
- Aalborg Universitet
- Adam Mickiewicz University, Poznań
- Argonne
- 90 more »
- « less
-
Field
- Computer Science
- Medical Sciences
- Biology
- Engineering
- Science
- Chemistry
- Humanities
- Economics
- Mathematics
- Education
- Earth Sciences
- Materials Science
- Electrical Engineering
- Environment
- Arts and Literature
- Law
- Linguistics
- Psychology
- Business
- Philosophy
- Physics
- Social Sciences
- Sports and Recreation
- 13 more »
- « less
-
. Connections working at Princeton University More Jobs from This Employer https://main.hercjobs.org/jobs/22428120/postdoctoral-research-associate-ai-machine-learning-for-biochemistry Return to Search Results
-
development About You You will hold a Ph.D/D.Phil in a quantitative or theoretical discipline (e.g. machine learning, computer science, mathematics, statistics, physics, theoretical neuroscience or a closely
-
-facing web GIS dashboard. Investigate the forest, landscape, and climate conditions that drive storm susceptibility, using major windstorms as natural experiments and interpretable machine-/deep-learning
-
of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to interdisciplinary research or developing AI models
-
analysis, computer vision, or machine learning, with a clear interest in developing image analysis algorithms and an affinity with medical topics. Good communication and organizational skills are essential
-
position within a Research Infrastructure? No Offer Description Activities and context: The fellow will develop machine-learning interatomic potentials (MLPs), trained on density functional theory-DFT data
-
well as machine learning and multivariate decoding of neuroimaging data to predict subjective experiences and individual differences. Successful candidates will be supported in building a research program at the
-
machine learning and data harmonization approaches for water quality monitoring and assessment. Responsibilities include developing and validating computational methods to standardize and infer nutrient and
-
world and a suite of associated machine learning tools. The incumbent will be advised by Dr. Laurel Symes (CAPS, [email protected]). Depending on the research direction, collaboration and additional
-
/communications, machine learning/vision, intelligent transportation systems, intelligent sensing/localization, or signal processing. In line with our Athena SWAN ambitions we especially encourage women to apply