Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Duke University
- Nature Careers
- Carnegie Mellon University
- Princeton University
- Radix Trading LLC
- Susquehanna International Group
- Universite de Moncton
- ;
- CUNY School of Medicine
- DIFFER; Eindhoven
- Technical University of Munich
- The University of Alabama
- UNIVERSITY OF HELSINKI
- University of Alabama, Tuscaloosa
- University of Antwerp
- University of British Columbia
- University of Central Florida
- University of Idaho
- University of Newcastle
- University of Pennsylvania
- University of Tennessee at Chattanooga
- VU Amsterdam
- 12 more »
- « less
-
Field
-
– as a clean source of energy. In our institute physicists, chemists, engineers, and other specialists work together in multidisciplinary teams to accelerate the transition to a sustainable society
-
Reconfigurable/Spatial computing architectures, such as FPGAs, CGRAs, and AI accelerators, offer significant opportunities for improving performance and energy efficiency compared to traditional CPUs
-
Explorer (IBEX) mission, the Parker Solar Probe (PSP) Integrated Science Investigation of the Sun (ISIS) instrument suite, and the Interstellar Mapping and Acceleration Probe (IMAP) mission in development
-
(e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Background Investigation Statement: Prior to hiring, the final candidate(s) must
-
Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Background Investigation Statement: Prior to hiring, the final candidate(s
-
to accelerate TBI research. This individual will have experience with designing, implementing, and interpreting human clinical studies of TBI including magnetic resonance imaging, blood-based biomarkers, and
-
American, Hispanic/Latino, and Native American), greatly exceeding the current U.S. medical school average of 43%. The CUNY School of Medicine encompasses an innovative accelerated BS/MD program that
-
) platforms used in machine learning, big data and artificial intelligence (AI) based applications (CPUs, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs
-
, but later dates are negotiable. Project Background: Modeling the origin and acceleration of the solar wind remains a central challenge in heliophysics, with major implications for both fundamental
-
Robotisation (PROMAR) group, headed by Matthias Rupp. The group develops fundamental and technological expertise in machine learning for materials science, including data-driven accelerated simulations and