Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Oak Ridge National Laboratory
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- NEW YORK UNIVERSITY ABU DHABI
- Argonne
- CNRS
- Nature Careers
- Technical University of Munich
- Technical University of Denmark
- University of Washington
- Stanford University
- University of North Carolina at Chapel Hill
- Stony Brook University
- Texas A&M University
- University of Bergen
- University of Oxford
- AALTO UNIVERSITY
- Chalmers University of Technology
- European Space Agency
- National Aeronautics and Space Administration (NASA)
- Baylor College of Medicine
- Delft University of Technology (TU Delft)
- Northeastern University
- The University of Arizona
- University of Houston Central Campus
- University of Maryland, Baltimore
- University of Sydney
- ;
- DURHAM UNIVERSITY
- Delft University of Technology (TU Delft); Delft
- ICN2
- Inria, the French national research institute for the digital sciences
- KINGS COLLEGE LONDON
- King's College London
- THE UNIVERSITY OF HONG KONG
- Texas A&M AgriLife
- Umeå University
- University of Groningen
- University of Southern Denmark
- University of Turku
- Virginia Tech
- Academia Sinica
- Aix-Marseille Université
- Broad Institute of MIT and Harvard
- Brookhaven Lab
- CIC energiGUNE
- DePaul University
- Durham University
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Eindhoven
- FAPESP - São Paulo Research Foundation
- Forschungszentrum Jülich
- George Washington University
- Indiana University
- Lawrence Berkeley National Laboratory
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- New York University
- Princeton University
- RIKEN
- The University of North Carolina at Chapel Hill
- UNIVERSITY OF VIENNA
- University of California
- University of Central Florida
- University of Florida
- University of Houston
- University of Liverpool
- University of Luxembourg
- University of Minnesota
- University of Oklahoma
- University of Oulu
- University of Twente
- University of Twente (UT)
- University of Twente (UT); Enschede
- University of Virginia
- Université Claude Bernard Lyon 1
- Université Grenoble Alpes
- Université Savoie Mont Blanc
- Vrije Universiteit Brussel
- Yale University
- Aalborg Universitet
- Aalborg University
- Aarhus University
- Bocconi University
- Brookhaven National Laboratory
- CISPA Helmholtz Center for Information Security
- California Institute of Technology
- Carnegie Mellon University
- Central China Normal University
- Chalmers tekniska högskola
- City University London
- Copenhagen Business School
- Cornell University
- Dartmouth College
- Delft University of Technology (TU Delft); yesterday published
- ERATOSTHENES CENTRE OF EXCELLENCE
- ETH Zürich
- Eastern Kentucky University
- Ecole Centrale de Lyon
- Empa
- FRANCE ENERGIES MARINES
- 90 more »
- « less
-
Field
-
properties of macromolecules, developing novel ways to combine quantum chemical methods and machine learning, developing quantum algorithms for computational chemistry on quantum computers, and applying
-
University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 23 hours ago
into FE codes for application in process optimization studies Utilize ML algorithms and optimization frameworks in conjunction with FE simulations to develop process optimization framework for metal/ceramic
-
pathways, including deactivation processes. Screening and fine-tuning catalysts to enhance performance. Developing workflows and machine learning algorithms to accelerate catalyst design (optional). Group
-
Bioinformatics and Computational Biology headed by Ivo Hofacker. Our team works on the development of algorithms and methods for problems in Computational Chemistry, Systems Chemistry, and Computational Biology
-
on two types of cultural heritage objects: medieval parchments and antique coins. PHOENIX aims to develop a methodology based on physicochemical characterizations capable of addressing common objectives
-
leading peer-reviewed journals and conferences. Researching and developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration
-
developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation of results. Deliver ORNL’s mission by aligning
-
-disciplinary involving algorithmics, stochastic optimization, multi-criteria decision making, and data science. As part of the project, you will implement and test algorithms and further develop your skills in
-
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
-
for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 19 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different