Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- University of Washington
- The University of Chicago
- Forschungszentrum Jülich
- NEW YORK UNIVERSITY ABU DHABI
- University of Colorado
- Blekinge Institute of Technology
- CNRS
- George Mason University
- KINGS COLLEGE LONDON
- University of Utah
- ;
- AALTO UNIVERSITY
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- Auburn University
- BEIJING NORMAL UNIVERSITY
- California State University, Fresno
- Centrale Lille Institut
- Commissariat à l'Energie Atomique et aux Energies Alternatives - Groupe
- Cranfield University
- FAPESP - São Paulo Research Foundation
- Faculty of Sciences of the University of Porto
- Florida International University
- IMEC
- Inria, the French national research institute for the digital sciences
- Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S)
- KTH Royal Institute of Technology
- LINKS Foundation - Leading Innovation & Knowledge for Society
- Lunds universitet
- NTNU Norwegian University of Science and Technology
- Nature Careers
- Northeastern University
- Oak Ridge National Laboratory
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Singapore-MIT Alliance for Research and Technology
- Stanford University
- State University of New York University at Albany
- The University of Manchester;
- Tyndall National Institute
- UNIVERSITE DE TECHNOLOGIE DE COMPIEGNE
- UNIVERSITY OF TECHNOLOGY NUREMBERG
- Umeå universitet stipendiemodul
- Universidad Politecnica de Cartagena
- University of California
- University of California Merced
- University of California, San Francisco
- University of Delaware
- University of Glasgow
- University of Oslo
- University of Southern Denmark
- University of Texas at Dallas
- University of Vienna
- 41 more »
- « less
-
Field
-
unique opportunity to engage in transformational research that advances the development of AI-ready scientific data, optimized workflows, and distributed intelligence across the computing continuum. In
-
, including periapical, bitewing, panoramic, occlusal, and lateral images, and cone beam computed tomography scans. Aid dental students, residents and/or faculty in four-handed dentistry and in routine chair
-
to significant losses during processing, transport, retail and storage stages. In parallel, advances in sensor, information and communication technologies, together with increased computational capabilities, have
-
SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing for Fibre Optic Links’
Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description SPEAR Centre: PhD in ‘Long-Range, High Bandwidth Distributed Acoustic Sensing
-
Application Deadline 23 Mar 2026 - 23:59 (Europe/Paris) Country France Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
-
including workload schedulers, storage systems, and distributed compute nodes. Applies analytical methods to evaluate system performance, identify bottlenecks, and implement corrective actions to improve
-
Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 19 days ago
Status Full-time Hours Per Week 35 Offer Starting Date 23 Feb 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number Fellow_BI/FCT_Proj2025/i3S
-
Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
(supercomputer/cloud/edge) infrastructures. Developed by the KerData research team in the context of the STEEL project of the national PEPR CLOUD program, E2Clab (https://team.inria.fr/kerdata/e2clab/ ) is a
-
algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
-
, Interactive and Cognitive Systems, Distributed Systems, Parallel Computing, and Networks. The host team, DAISY, is a joint CNRS, Grenoble INP, and UGA research team handling research challenges