Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- European Space Agency
- University of British Columbia
- Argonne
- Oak Ridge National Laboratory
- Technical University of Munich
- UNIVERSITY OF SOUTHAMPTON
- Technical University of Denmark
- ;
- Aarhus University
- Boston University
- Curtin University
- DAAD
- DURHAM UNIVERSITY
- ETH Zurich
- Hong Kong Polytechnic University
- IMT
- KINGS COLLEGE LONDON
- King's College London
- Leibniz
- Louisiana State University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Max Planck Institute of Molecular Physiology, Dortmund
- McGill University
- Monash University
- NEW YORK UNIVERSITY ABU DHABI
- Nanyang Technological University
- National Aeronautics and Space Administration (NASA)
- National Renewable Energy Laboratory NREL
- Nature Careers
- Singapore Institute of Technology
- The University of Arizona
- University of Bergen
- University of Bristol
- University of Cambridge
- University of Cincinnati
- University of Minnesota
- University of Oxford
- University of Southern California
- University of Surrey
- University of Texas at Austin
- University of Washington
- Uppsala University
- Yale University
- 33 more »
- « less
-
Field
-
. This position offers an exciting opportunity to work at the intersection of HPC and AI, addressing critical communication bottlenecks and optimizing network interconnects for large-scale distributed systems
-
validate these distributed intelligence algorithms, enabling breakthroughs in scientific research across DOE domains. The candidate will collaborate with DOE’s SWARM project (https://swarm-workflows.org
-
multi-agent autonomous systems and related technologies. This will include development of distributed monitoring algorithms enabling agents in a multi-agent swarm to autonomously locate other agents in
-
decentralised algorithms, meta-information data structures and indexing techniques to enable large-scale data search across Personal Online Datastores (pods) hosted on distributed pod servers, addressing both
-
AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical imaging QUALIFICATIONS Successful applicants will have: a PhD in
-
scientists, nuclear medicine physicians) to develop and implement innovative AI algorithms applied to medical images To lead effort on enabling translational and physician-in-the-loop AI solutions for medical
-
model checkers; proofs of safety and/or security properties; programming languages and/or type systems; concurrent and/or distributed algorithms; and related topics. The successful applicant will work in
-
literature review, algorithm design, experiment design, model training, evaluation, and benchmarking. Work with and supervise undergraduate or graduate student assistants, guiding them in data collection
-
for projects related to the integration of microgrids, distributed energy resources (DERs), and advanced transmission & distribution (T&D) coordination. This role is ideal for a researcher passionate about
-
Fellow in Autonomous Systems and Control to design and implement efficient, performance‑guaranteed distributed control approaches, leveraging cutting‑edge learning algorithms and AI strategies