Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Duke University
- Stanford University
- University of Oxford
- Oak Ridge National Laboratory
- Cornell University
- Texas A&M University
- Argonne
- Virginia Tech
- Princeton University
- Rutgers University
- Yale University
- Bowdoin College
- EPFL
- Harvard University
- Carnegie Mellon University
- Northeastern University
- Pennsylvania State University
- University of Manchester
- University of Washington
- Durham University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- University of Miami
- University of Sydney
- Baylor College of Medicine
- Brookhaven National Laboratory
- Empa
- Massachusetts Institute of Technology
- New York University
- Queen Mary University of London
- Stony Brook University
- Technical University of Munich
- University of Oxford;
- University of Texas at Arlington
- Leiden University
- MOHAMED BIN ZAYED UNIVERSITY OF ARTIFICIAL INTELLIGENCE
- Queen Mary University of London;
- SUNY University at Buffalo
- Texas A&M AgriLife
- The University of Iowa
- The University of Manchester;
- UNIVERSITY OF HELSINKI
- UNIVERSITY OF VIENNA
- University of California Irvine
- University of Connecticut
- University of Liverpool
- University of Nebraska Medical Center
- University of Nevada Las Vegas
- University of Nevada, Reno
- Vrije Universiteit Brussel
- Baylor College of Medicine (BCM)
- CNRS
- ETH Zürich
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Inria, the French national research institute for the digital sciences
- Itä-Suomen yliopisto
- KU LEUVEN
- King's College London
- McGill University
- SciLifeLab
- UNIVERSITY OF SYDNEY
- University of Basel
- University of California
- University of Kentucky
- University of London
- University of Lund
- University of Luxembourg
- University of North Texas at Dallas
- University of Oslo
- Villanova University
- ;
- AALTO UNIVERSITY
- Aalborg University
- Aarhus University
- BAM Bundesanstalt für Materialforschung und -prüfung
- Bar Ilan University
- Blekinge Institute of Technology
- Campbell University
- Central European University
- City St George’s, University of London;
- Computer Vision Center
- Delft University of Technology (TU Delft)
- ETH Zurich
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- George Washington University
- Georgetown University
- Ghent University
- Heidelberg University
- Helmholtz-Zentrum Hereon
- ICN2
- Imperial College London
- Indiana University
- Institut Pasteur
- Institut d’Investigació Biomèdica de Girona Dr. Josep Trueta (IDIBGI-CERCA)
- Institute of Organic Chemistry and Biochemistry of the CAS (IOCB Prague)
- Instituto de Neurociencia Avanzada de Barcelona
- Istituto Italiano di Tecnologia
- Karolinska Institutet (KI)
- King Abdullah University of Science and Technology
- Linköping University
- 90 more »
- « less
-
Field
-
Description Applications are invited for a fully funded two-year postdoctoral position in Statistics, Machine Learning, or a closely related field under the supervision of Prof. Souhaib Ben Taieb
-
Job Requirements REQUIRED: PhD in a field of quantitative science; strong background in machine learning and signal processing; experience with and commitment to rigorous and reproducible
-
across Duke and other institutions. Applicants should hold, or expect to complete before the start date, a PhD in computer science, machine learning, natural language processing, or a closely related field
-
with conducting research at the intersection of reinforcement learning and statistics. The primary responsibility of the candidate will be to advance statistical methodology useful for the design and
-
FAccT and AIES), as well as policy fora. Applicants should have completed, or be near completion of, a PhD in Computer Science, Information Engineering, Statistics, Machine Learning or a closely related
-
specific to a single model or setting. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background in machine
-
. Physics, Engineering, Computer Sciences, Neurosciences), and a PhD in a relevant computational domain. Also deep knowledge of statistics and Bayesian learning, and necessary mathematical and computational
-
epitaxy, electrocatalysis and electrochemistry, surface characterization with spectroscopy or electron microscopy, operando spectroscopy, electrochemical scan probe microscopy, and machine learning
-
Join us in designing stable materials for sustainable energy devices with machine-learning-accelerated simulation and modeling. Work assignments The postdoctoral researcher will develop machine
-
join a highly collaborative, interdisciplinary research environment focused on developing and applying cutting-edge machine learning and deep learning methods to abdominal imaging. Working alongside