Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Nanyang Technological University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- University of Oslo
- Harvard University
- Indiana University
- University of Arkansas
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- Johns Hopkins University
- Monash University
- Northeastern University
- Universidade do Minho
- University of Algarve
- University of British Columbia
- University of New South Wales
- Aarhus University
- Carnegie Mellon University
- Centre for European Policy Studies
- Centro de Engenharia Biológica da Universidade do Minho
- Cornell University
- Dalhousie University
- Dana-Farber Cancer Institute (DFCI)
- European Space Agency
- Fields Institute
- INESC ID
- INESC TEC
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- King Abdullah University of Science and Technology
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Macquarie University
- Max-Planck-Institut für Bildungsforschung
- NTNU Norwegian University of Science and Technology
- SUNY University at Buffalo
- Technical University of Munich
- Tokyo University of Science
- UCL EE
- UCL;
- UNIVERSITY OF NOTTINGHAM NINGBO CHINA
- UiT The Arctic University of Norway
- University of Beira Interior
- University of California, Los Angeles
- University of Manchester
- University of Maryland, Baltimore
- University of Michigan
- University of Minho
- University of Notre Dame
- University of Nottingham
- University of Texas at Austin
- Zintellect
- 38 more »
- « less
-
Field
-
; distributionally robust optimization; 2) Graph Neural Networks, Large Language Models (LLMs), and geometric deep learning; and 3) federated learning and privacy preserving computing. Basic Qualifications Candidates
-
algorithms, representation and learning of data and dynamical systems, geometric deep learning, topological and algebraic data analysis, optimization on manifolds, and operator- and PDE-based approaches
-
Intelligence (AI) algorithms, including Machine Learning (ML) and Deep Learning (DL) techniques, for advanced signal analysis. The work will focus on developing methodologies for the detection, extraction
-
Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 2 months ago
field A strong publication record in high-impact venues (NeurIPS, ICML, ICLR, AAAI, ACL, EMNLP, Nature/Science family, JAMA, Lancet Digital Health, or equivalent) Deep expertise in machine learning and/or
-
University of California, Los Angeles | Los Angeles, California | United States | about 2 months ago
fellowship program in cytopathology. The core responsibilities include performing superficial fine needle aspirations and on-site assessment of guided deep aspirates on both pediatric and adult patients
-
, or similar languages Background in machine learning or deep learning methods Knowledge of genomics, transcriptomics, evolutionary biology, and plant biology is an advantage Familiarity with large biological
-
: Design and implement ML, deep learning, and Large Language Models for orthopaedic applications Work with multimodal clinical data, including: Medical imaging (X-ray, CT, MRI) Electronic health records (HER
-
design, business scoping, project coordination and implementation support for healthcare projects. This role is focused on Healthcare Design and Business. The candidate should have a deep understanding of
-
Environments Work plan: - The activities to be carried out will focus on the study and evaluation of automatic speech recognition technologies, with particular emphasis on deep learning-based approaches and
-
for roughly 3% of global CO₂ emissions, and with international pressure to decarbonize hard-to-abate sectors, nuclear propulsion is emerging as a serious candidate for deep-sea and high-utilization vessels