Sort by
Refine Your Search
-
Listed
-
Country
- United States
- United Kingdom
- Sweden
- Denmark
- Germany
- France
- Morocco
- Netherlands
- United Arab Emirates
- Luxembourg
- Spain
- Belgium
- Australia
- Hong Kong
- Finland
- Ireland
- Norway
- Italy
- Singapore
- Brazil
- Switzerland
- Poland
- China
- Japan
- Mexico
- Saudi Arabia
- Taiwan
- Austria
- Canada
- Latvia
- New Zealand
- Portugal
- Worldwide
- Benin
- Bulgaria
- Cyprus
- Iceland
- India
- Israel
- Slovakia
- Slovenia
- South Africa
- Vietnam
- 33 more »
- « less
-
Employer
- Nature Careers
- Cornell University
- University of Oxford
- Duke University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- New York University
- University of Miami
- NEW YORK UNIVERSITY ABU DHABI
- Argonne
- Rutgers University
- Oak Ridge National Laboratory
- Carnegie Mellon University
- University of South Carolina
- Stanford University
- CNRS
- University of North Carolina at Chapel Hill
- University of Luxembourg
- Aarhus University
- Technical University of Munich
- Stony Brook University
- University of Washington
- THE UNIVERSITY OF HONG KONG
- University of Minnesota
- University of Oxford;
- Chalmers University of Technology
- National Aeronautics and Space Administration (NASA)
- Texas A&M University
- Technical University of Denmark
- The Ohio State University
- University of Texas at Arlington
- Princeton University
- Aalborg University
- Brookhaven National Laboratory
- Loyola University
- University College Cork
- University of Kentucky
- University of Oslo
- FAPESP - São Paulo Research Foundation
- Harvard University
- Northeastern University
- Singapore-MIT Alliance for Research and Technology
- University of Sydney
- Texas A&M AgriLife
- University of Nevada, Reno
- ETH Zürich
- KTH Royal Institute of Technology
- U.S. Department of Energy (DOE)
- Villanova University
- AALTO UNIVERSITY
- Massachusetts Institute of Technology
- Purdue University
- SUNY Polytechnic Institute
- SciLifeLab
- The University of Iowa
- University of Amsterdam (UvA)
- University of Colorado
- University of Idaho
- University of Tübingen
- VIB
- Boise State University
- Durham University
- Inria, the French national research institute for the digital sciences
- King's College London
- Lehigh University
- Linköping University
- Michigan State University
- Pennsylvania State University
- SUNY University at Buffalo
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF SYDNEY
- Umeå University
- University of Copenhagen
- University of Liverpool
- University of Lund
- University of Maryland, Baltimore
- University of Oregon
- University of Texas at Dallas
- University of Twente
- Angelo State University
- Argonne National Laboratory
- Aston University
- Binghamton University
- Brown University
- Forschungszentrum Jülich
- IMT Atlantique
- Indiana University
- Institut Pasteur
- Institut de Físiques d'Altes Energies (IFAE)
- Istituto Italiano di Tecnologia
- King Abdullah University of Science and Technology
- Lawrence Berkeley National Laboratory
- Leibniz
- Lunds universitet
- National Center for Theoretical Sciences
- National Renewable Energy Laboratory NREL
- Queen Mary University of London;
- Texas A&m Engineering
- The University of Arizona
- The University of North Carolina at Chapel Hill
- UNIVERSITY OF VIENNA
- 90 more »
- « less
-
Field
- Computer Science
- Biology
- Medical Sciences
- Engineering
- Science
- Economics
- Mathematics
- Chemistry
- Humanities
- Materials Science
- Earth Sciences
- Environment
- Psychology
- Electrical Engineering
- Law
- Education
- Physics
- Social Sciences
- Arts and Literature
- Business
- Linguistics
- Sports and Recreation
- Statistics
- Philosophy
- 14 more »
- « less
-
predictive control of carbon mineralisation through high-throughput mineralogy and machine learning.” This is an exciting opportunity to contribute to innovative research at the interface of mineralogy
-
on studying the principles of neural computation through recurrent neural networks, dynamical systems theory, and machine learning. - Develop mathematical and computational models of neural networks - Analyze
-
AI and physics‑based simulation for complex mechanical systems. We are now seeking a postdoctoral researcher for a project aiming at physics‑informed autonomous control of machines operating in rough
-
Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | about 1 month ago
data analysis methods to study biological memory circuits and their applications to machine learning. Building on recent work from the Fiete Lab, the role focuses on identifying principles of biological
-
and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive
-
self-driven, highly motivated, creative with excellent communication skills in written and spoken English and Cantonese. Expertise and knowledge in AI deep learning model development on histology whole
-
Engineering, Mathematics, Statistics, Computer Science or conjugate subject and have a strong record of publication in the relevant literature. Good knowledge of machine learning algorithms is essential, as
-
technology (PAT) adds cost, time, and introduction of human error. This project aims to develop a novel, label-free microbial detection method, coupled with machine learning tailored for cleaning validation
-
enable physics-informed AI agents that accelerate discovery in catalysis science. The successful candidate will focus on the development and application of machine learning and AI approaches to analyze
-
resonance imaging data among other imaging modalities, machine learning methods for prediction, treatment effect estimation, and contribute to understanding brain biomarkers of Alzheimer’s disease and their