Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- Swedish University of Agricultural Sciences
- University of Oslo
- University of Sheffield
- Nature Careers
- The Ohio State University
- CNRS
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- University of Glasgow
- Forschungszentrum Jülich
- National University of Singapore
- Cornell University
- DAAD
- KINGS COLLEGE LONDON
- Karolinska Institutet (KI)
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Macquarie University
- University of Southern Denmark
- University of Texas at Austin
- Blekinge Institute of Technology
- Delft University of Technology (TU Delft)
- ETH Zurich
- Eindhoven University of Technology (TU/e)
- Fraunhofer-Gesellschaft
- Georgetown University
- Inria, the French national research institute for the digital sciences
- Michigan State University
- Monash University
- NEW YORK UNIVERSITY ABU DHABI
- NIST
- Princeton University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Swansea University
- Technical University of Denmark
- UNIVERSITY OF SURREY
- UiT The Arctic University of Norway
- Umeå University
- Umeå universitet
- Universite de Montpellier
- University of Stavanger
- ;
- AALTO UNIVERSITY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Academic Europe
- Amgen Scholars Program
- Auburn University
- Baylor College of Medicine
- Bellevue College
- CSIRO
- California Institute of Technology
- Cardiff University
- Carleton University
- Cedars-Sinai Medical Center
- Centrale Lille Institut
- Centre Euopéen de Recherche et de Formation Avancée en Calcul Scientifique (CERFACS)
- Centro Nacional de Investigaciones Cardiovasculares Carlos III F.S.P.
- Chalmers University of Technology
- Columbia University
- Commissariat à l'Energie Atomique et aux Energies Alternatives - Groupe
- ENVT INRAE
- Ecole Polytechnique Federale de Lausanne
- Ecoles Pratique des Hautes Etudes - PSL
- Empa
- European Magnetism Association EMA
- Fred Hutchinson Cancer Center
- Ghent University
- Harvard University
- Heidelberg University
- Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt
- ICN2
- Illinois Institute of Technology
- Jane Street Capital
- KU LEUVEN
- Karolinska Institutet, doctoral positions
- Kingston University
- Lulea University of Technology
- Luleå
- Luleå tekniska universitet
- Lunds universitet
- Murdoch University
- NTNU Norwegian University of Science and Technology
- Nord University
- Politecnico di Milano
- Rutgers University
- Saint Mary's College of California
- Sam Houston State University
- SciLifeLab
- Soluciones Agricolas Ecoinnovadoras SL
- Swansea University;
- Tallinn University of Technology
- Technical University of Munich
- Texas A&M University
- The Royal Melbourne Hospital
- The University of Iowa
- Tilburg University
- UNIVERSITY OF THE SUNSHINE COAST - UNISC
- Umeå universitet stipendiemodul
- University of Agder
- University of Agder (UiA)
- University of Bristol
- University of British Columbia
- 90 more »
- « less
-
Field
-
or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high-throughput modeling over
-
anomalies in evolving graphs. In this research proposal, our aim is to explore the parallels of deep learning and anomaly detection in dynamic graphs. In particular we are interested to redesign deep neural
-
or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high-throughput modeling over
-
(Horizon Europe and related programmes). Translate scientific and technical content into clear narratives for different audiences (project partners, stakeholders, policymakers, practitioners, and the general
-
signals are required for C. difficile germination. In nutrient-rich media, genetically identical spores germinate at different times, but in presence of bile salts—exclusively found in the gut—spores
-
interpretation and reporting tasks; Support grant and manuscript preparation efforts. Candidate must be comfortable working on multiple projects in parallel, requiring excellent time management and organizational
-
National Lab, University of Tokyo etc.), the PhD candidate is expected to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient
-
complies with the legal requirements for the formalization of the contract in accordance with the Spanish labor law. To be eligible, candidates must officially apply in parallel to: https://www.unimedizin
-
attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH Silvio O. Conte Center on the "Cognitive Thalamus". The successful
-
range transducers and arrays. Additionally, a high-performance computer cluster is available at Bristol can be used to run large and parallel models. You will have full access to these facilities. You