Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Stanford University
- Delft University of Technology (TU Delft)
- Oak Ridge National Laboratory
- University of North Carolina at Chapel Hill
- University of Oxford
- Cornell University
- EPFL
- Harvard University
- Pennsylvania State University
- Technical University of Munich
- University of Florida
- Utrecht University
- Duke University
- New York University
- SciLifeLab
- Yale University
- Argonne
- Empa
- FAPESP - São Paulo Research Foundation
- KTH Royal Institute of Technology
- NEW YORK UNIVERSITY ABU DHABI
- National Energy Technology Laboratory (NETL)
- Northeastern University
- UNIVERSITY OF VIENNA
- University of Texas at Arlington
- University of Washington
- AALTO UNIVERSITY
- Aalborg University
- Aarhus University
- Baylor College of Medicine
- Baylor University
- CNRS
- Carnegie Mellon University
- Chalmers University of Technology
- European Space Agency
- ICN2
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Istituto Italiano di Tecnologia
- Maastricht University (UM)
- Massachusetts Institute of Technology
- Queen Mary University of London
- Queen Mary University of London;
- Singapore-MIT Alliance for Research and Technology
- Stony Brook University
- Texas A&M AgriLife
- Texas A&M University
- The Ohio State University
- UNIVERSITY OF HELSINKI
- University of Miami
- University of Minnesota
- University of Oxford;
- Virginia Tech
- Vrije Universiteit Brussel
- ;
- Austrian Academy of Sciences, The Marietta Blau Instiute (MBI)
- Beijing Academy of Quantum Information Sciences
- Computer Vision Center
- Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke
- Forschungszentrum Jülich
- Fundació per a la Universitat Oberta de Catalunya
- Human Technopole
- INSERM
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Imperial College London
- Indiana University
- KU LEUVEN
- King Abdullah University of Science and Technology
- Lancaster University
- Lehigh University
- Lunds universitet
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute for Human Cognitive and Brain Sciences (MPI CBS)
- Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig
- Missouri University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- Norwegian University of Life Sciences (NMBU)
- RIKEN
- Radboud University Medical Center (Radboudumc)
- Research Center for Molecular Medicine (CeMM), ÖAW
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Saarland University
- THE UNIVERSITY OF HONG KONG
- Texas A&m Engineering
- The University of Iowa
- Tsinghua University
- Télécom Paris
- U.S. Department of Energy (DOE)
- UNIVERSIDAD POLITECNICA DE MADRID
- Umeå University
- University College Dublin
- University of British Columbia
- University of California
- University of California Irvine
- University of Canterbury
- University of Illinois at Chicago
- University of Liège
- University of London
- University of Lund
- University of Nebraska Medical Center
- 90 more »
- « less
-
Field
-
develop, implement and validate state-of-the-art machine learning methods, ranging from deep learning and transformer architectures to unsupervised learning and representation learning approaches. You will
-
your academic career? Your interests lie in the field of machine learning techniques, particularly artificial neural networks, and deep learning? And you would like to continue your research
-
to industry and developments with Deep Learning (DL), Computer Vision (CV), Transformers, Large Language Models (LLMs), Natural Language Processing (NLP). Mandatory requirements • Bachelor's degree
-
-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
-
for Transportation (VITA ) is looking for a postdoctoral researcher in the area of Generative AI. VITA research interests lie at the intersection of Computer Vision, Machine Learning (Deep Learning), and Human-Robot
-
analysis. ● Prior work on kinase or other signaling-protein conformational dynamics, phosphorylation-driven activation, or allosteric regulation. ● Familiarity with machine learning and deep learning
-
research career. Research and technical training Training will include hands-on work in the following areas: Developing and validating deep-learning and machine-learning models using echocardiography
-
computing, high-performance computing (HPC), or machine learning (ML) Interest in Standard Model measurements and/or searches for new phenomena Application Review Review of applications will begin once the
-
structure modeling in cancer immunotherapy design. Profile A — AI PhD in machine learning, computer science, computational science, or a related field. Strong experience with deep learning (e.g., PyTorch
-
in creating and evaluating machine learning models.•Familiarity with deep learning framework, such as PyTorch or Tensorflow.•Experience in data preparation, preferably in a bioinformatics context (data