Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Technical University of Munich
- NEW YORK UNIVERSITY ABU DHABI
- Stanford University
- University of Oxford
- Argonne
- University of North Carolina at Chapel Hill
- Duke University
- KINGS COLLEGE LONDON
- Pennsylvania State University
- University of Minnesota
- ;
- Princeton University
- Stony Brook University
- University of California Berkeley
- University of Florida
- University of Miami
- Yale University
- Brookhaven Lab
- Leibniz
- New York University
- Singapore Institute of Technology
- U.S. Department of Energy (DOE)
- University of Central Florida
- University of Houston Central Campus
- Carnegie Mellon University
- Copenhagen Business School , CBS
- Cornell University
- Heriot Watt University
- Northeastern University
- Technical University of Denmark
- Texas A&M University
- University of Lund
- University of Minnesota Twin Cities
- University of Vienna
- University of Washington
- Utrecht University
- Aarhus University
- Cold Spring Harbor Laboratory
- King Abdullah University of Science and Technology
- King's College London
- New York University of Abu Dhabi
- Oak Ridge National Laboratory
- RIKEN
- Rutgers University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- South Dakota Mines
- THE UNIVERSITY OF HONG KONG
- The University of Iowa
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University of British Columbia
- University of California
- University of California Irvine
- University of Houston
- University of London
- University of Maryland, Baltimore
- University of Nevada, Reno
- University of North Texas at Dallas
- University of Oklahoma
- University of Texas at Arlington
- University of Twente (UT)
- University of Twente (UT); Enschede
- Virginia Tech
- Wayne State University
- ; Technical University of Denmark
- ; Xi'an Jiaotong - Liverpool University
- AALTO UNIVERSITY
- Aalborg University
- Academia Sinica
- CEA-Saclay
- CNRS
- Canadian Association for Neuroscience
- Case Western Reserve University
- Copenhagen Business School
- Emory University
- Empa
- European Space Agency
- Forschungszentrum Jülich
- Genentech
- Georgia State University
- Ghent University Global Campus
- Heriot-Watt University;
- Imperial College London
- Institut Pasteur
- Johns Hopkins University
- Los Alamos National Laboratory
- Manchester Metropolitan University
- National Aeronautics and Space Administration (NASA)
- New York University in Abu Dhabi
- Purdue University
- Radboud University
- Reykjavik University
- Royal College of Art
- SUNY Polytechnic Institute
- SUNY University at Buffalo
- Sun Yat-Sen University
- Swedish University of Agricultural Sciences
- The Ohio State University
- 90 more »
- « less
-
Field
-
data to design robust, efficient deep learning algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates
-
About Us We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
-
About us: We are seeking experts in medical image deep learning to join our team and help develop novel computationally efficient segmentation algorithms. We welcome application from individual with
-
outstanding candidates to apply for a postdoctoral research position in Geometric Deep Learning, with a strong emphasis on applications to biology and scientific discovery. This unique research collaboration
-
deep reinforcement learning (DRL) methodologies for both gene-level and edge-level perturbation control, represents a significant advancement in the computational toolkit for cellular reprogramming
-
-aware multi-modal deep learning (DL) methods. At Argonne, we are developing physics-aware DL models for scientific data analysis, autonomous experiments and instrument tuning. By incorporating prior
-
relevant field at the PhD level with zero to five years of employment experience. Experience with deep learning frameworks (PyTorch, TensorFlow, JAX). Strong background in computational image processing and
-
computational framework, integrated with deep reinforcement learning (DRL) methodologies for both gene-level and edge-level perturbation control, represents a significant advancement in the computational toolkit
-
National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
wildland-urban interfaces— across a wide range of climate conditions. Using machine learning methods, we will optimize the weightings of each contributing factor and identify the key drivers of wildfire risk
-
Post-Doctoral Position in Deep Learning for MRI Reconstruction at Yale University Title: Postdoctoral Associate, Yale School of Medicine Department/Division: Radiology and Biomedical Imaging