Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- NEW YORK UNIVERSITY ABU DHABI
- Delft University of Technology (TU Delft)
- EPFL
- Duke University
- Stanford University
- Oak Ridge National Laboratory
- University of Oxford
- Virginia Tech
- Argonne
- Cornell University
- Northeastern University
- Aarhus University
- Carnegie Mellon University
- Eindhoven University of Technology (TU/e)
- New York University
- University of North Carolina at Chapel Hill
- Chalmers University of Technology
- University of Miami
- University of Texas at Arlington
- Brookhaven National Laboratory
- Empa
- Leiden University
- Princeton University
- Technical University of Munich
- The Ohio State University
- University of Luxembourg
- University of Washington
- Utrecht University
- Yale University
- Aalborg University
- National Aeronautics and Space Administration (NASA)
- National Energy Technology Laboratory (NETL)
- Pennsylvania State University
- Queen Mary University of London
- Rutgers University
- SciLifeLab
- University of Sydney
- Baylor College of Medicine
- FAPESP - São Paulo Research Foundation
- Harvard University
- Helmholtz Association of German Research Centres
- King's College London
- Massachusetts Institute of Technology
- McGill University
- Queen Mary University of London;
- SUNY University at Buffalo
- Texas A&M University
- University of Amsterdam (UvA)
- University of Nevada, Reno
- University of Turku
- University of Twente (UT)
- Vrije Universiteit Brussel
- AALTO UNIVERSITY
- Baylor College of Medicine (BCM)
- Computer Vision Center
- Durham University
- ETH Zürich
- European Space Agency
- George Washington University
- ICN2
- Imperial College London
- Istituto Italiano di Tecnologia
- KTH Royal Institute of Technology
- Lunds universitet
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Maastricht University (UM)
- Stony Brook University
- The University of Iowa
- UNIVERSIDAD POLITECNICA DE MADRID
- UNIVERSITY OF SYDNEY
- University of California
- University of Groningen
- University of Minnesota
- University of Twente
- VIB
- ;
- BAM Bundesanstalt für Materialforschung und -prüfung
- Blekinge Institute of Technology
- Bournemouth University;
- CNRS
- Campbell University
- CeMM - Research Center for Molecular Medicine of the Austrian Academy of Sciences
- Copenhagen Business School
- Ellison Institute of Technology
- Erasmus University Rotterdam
- FCiências.ID
- Fundació per a la Universitat Oberta de Catalunya
- Georgetown University
- HITS gGmbH
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Human Technopole
- Inria, the French national research institute for the digital sciences
- 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
- Itä-Suomen yliopisto
- Jönköping University
- KU LEUVEN
- Karolinska Institutet (KI)
- King Abdullah University of Science and Technology
- 90 more »
- « less
-
Field
-
vision and novel applications of machine learning. Advanced knowledge of R or Python is required. Intermediate knowledge in C/C++ and/or at least one SQL dialect is preferred. Apply online at https
-
. Basic Qualifications: A PhD in Materials Science & Engineering, Physics, Chemistry, or a related field completed within the last 5 years A minimum of 2 years of post-Ph.D. experience utilizing
-
Education and/or Work Experience PhD required in related field. Qualifications Minimum Qualifications: Earned doctorate in Research Methodology, Social Work, School Psychology, Counseling Psychology
-
Science, Electrical/Computer Engineering, or a related field by the start date, with a strong publication record in computer vision, multimodal learning, or vision–language models. We require hands-on expertise with
-
for genomics (e.g., generative models, transformers, agentic workflows) and/or statistical learning (e.g., network & spatiotemporal modeling, functional/longitudinal data, time-series). Analyze single-cell
-
informatics, electrical engineering, or a related field Demonstrated expertise in machine learning, deep learning, and image-based modeling. A strong publication record in top-tier venues (e.g., MICCAI, CVPR
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Engineering stresses the application of science and engineering, mathematical analysis, and computer techniques to biomedical problems. The research and entrepreneurship of the faculty, students, and staff aim
-
AI transforms civic life, democratic practice, and public reasoning. The AIDC Initiative brings together scholars from the humanities, social sciences, and technology studies to examine how AI reshapes
-
Research Centre. Mōu | Who You Are To be successful in this position, ideally you will have: A PhD in Computer Science or a closely related field Expert knowledge of deep learning, large language models
-
must possess substantial experience in artificial intelligence and machine learning methods, specifically in AI-driven materials discovery, machine learning applications for materials, or generative AI