Sort by
Refine Your Search
-
Listed
-
Country
-
Program
-
Employer
- Humboldt-Stiftung Foundation
- KINGS COLLEGE LONDON
- Medical College of Wisconsin
- Princeton University
- ;
- AALTO UNIVERSITY
- Erasmus University Rotterdam
- European Space Agency
- Forschungszentrum Jülich
- Georgetown University
- ICN2
- Imperial College London
- Linköping University
- NEW YORK UNIVERSITY ABU DHABI
- Nanyang Technological University
- National University of Singapore
- Nature Careers
- University of Cambridge
- University of Oklahoma
- University of Washington
- Washington University in St. Louis
- Western Norway University of Applied Sciences
- 12 more »
- « less
-
Field
-
results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
-
platform enables us to test hundreds of different conditions in parallel and assess their impacts on human immune responses, such as antibody production. We routinely work with industry partners to exploit
-
minutes from the U.S. Capitol and U.S. Supreme Court, Georgetown University offers rigorous academic programs, a global perspective, and unparalleled opportunities to engage with Washington, D.C. Our
-
the open-source finite-difference framework Xcompact3d. You will perform high-fidelity simulations of large-scale wind farms using the wind farm simulator using a wide range of hardware (including CPUs and
-
of laminar/neuropixel probes and electrical microstimulation to study attention and decision making networks in a behaving animal model together with parallel studies in humans. The project is part of a NIMH
-
: Rethinking AI for Just and Sustainable Futures programme. CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by
-
: Rethinking AI for Just and Sustainable Futures programme. CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by
-
to read Japanese. Experience in parallel scientific programming. Experience with High Throughput calculations. Other research and software engineering experience will be considered Availability to travel
-
-source programming framework SkePU for heterogeneous parallel systems. The work includes participation in the regular project meetings and can also include technical meetings with our industry partners in
-
2025, or as soon as possible thereafter. The project explores two parallel technological routes for converting captured carbon dioxide into microbial biomass: One fully biological, and the other a hybrid