Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Stanford University
- University of North Carolina at Chapel Hill
- UNIVERSITY OF VIENNA
- University of Minnesota
- Cornell University
- Delft University of Technology (TU Delft)
- EPFL
- Northeastern University
- University of Florida
- Aarhus University
- KTH Royal Institute of Technology
- SciLifeLab
- The University of Iowa
- University of Washington
- Utrecht University
- AALTO UNIVERSITY
- Baylor University
- CNRS
- Chalmers University of Technology
- Forschungszentrum Jülich
- Inria, the French national research institute for the digital sciences
- Maastricht University (UM)
- NEW YORK UNIVERSITY ABU DHABI
- New York University
- Pennsylvania State University
- UNIVERSITY OF HELSINKI
- University of Vienna
- Yale University
- ;
- Aalborg University
- Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung
- Austrian Academy of Sciences, The Marietta Blau Instiute (MBI)
- CEA
- Carnegie Mellon University
- Computer Vision Center
- ETH Zürich
- Empa
- European Space Agency
- FAPESP - São Paulo Research Foundation
- Heidelberg University
- INSERM
- IOCB Prague (Institute of Organic Chemistry and Biochemistry of the Czech Academy of Sciences)
- Indiana University
- Institut Pasteur
- Istituto Italiano di Tecnologia
- KU LEUVEN
- Lunds universitet
- Massachusetts Institute of Technology
- Michigan State University
- Missouri University of Science and Technology
- National Aeronautics and Space Administration (NASA)
- Radboud University Medical Center (Radboudumc)
- Research Center for Molecular Medicine (CeMM), ÖAW
- Saarland University
- The University of Arizona
- Tsinghua University
- Télécom Paris
- UNIVERSIDAD POLITECNICA DE MADRID
- Umeå University
- University College Cork
- University College Dublin
- University of California Berkeley
- University of California Irvine
- University of Canterbury
- University of Illinois at Chicago
- University of Massachusetts Chan Medical School
- University of Nevada Las Vegas
- University of South Carolina
- University of Southern California
- University of Southern Denmark (SDU)
- University of Tasmania
- University of Texas at Arlington
- Universität für Bodenkultur
- Washington University in St. Louis
- Westlake University
- XIAN JIAOTONG LIVERPOOL UNIVERSITY (XJTLU)
- universitypositions
- 67 more »
- « less
-
Field
-
for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI
-
. The position combines Empa UESL’s expertise in developing and accessing energy system models with the methodological expertise of the IMOS Laboratory in machine learning and foundation models. Postdoctoral
-
statistical and machine learning, deep learning, chemometrics, multimodal data fusion, computer vision, uncertainty-aware modeling, stochastic control, optimization, and deployable edge-to-cloud decision
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
-
University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 19 hours ago
world. Position Summary This Postdoctoral Research Associate will conduct advanced research in artificial intelligence, machine learning, computer vision, and medical image analysis. The position will contribute
-
. The research will be carried out at the Department of Information and Communications Engineering, DICE, at Aalto University, Finland. The project environment offers excellent infrastructure for deep learning
-
environments; (2) identify which patterns of student-AI interactions influence the adoption of deep or surface approaches to learning; (3) create, implement and evaluate guidelines and knowledge base
-
learning and physics, addressing key challenges in modern quantitative biology. The successful candidate will be responsible for: • Develop and train deep learning models (CNNs, ...) data to predict IPLSs
-
, extract, and standardise functional information 2. Develop computational tools that integrate evolutionary and functional information using comparative genomics and deep learning approaches 3. Apply
-
, you will design, train and implement ARCA: an AI foundation model for crop microbiomes. You will work at the interface of deep learning, bioinformatics and microbial ecology, using large-scale