Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- Germany
- France
- Netherlands
- Norway
- Australia
- Sweden
- Denmark
- Belgium
- Japan
- Singapore
- Spain
- Canada
- Italy
- Portugal
- Ireland
- Finland
- Switzerland
- China
- Hong Kong
- Czech
- Cyprus
- Andorra
- Austria
- Estonia
- Luxembourg
- United Arab Emirates
- Bulgaria
- Iceland
- India
- Israel
- Malta
- Mexico
- Morocco
- New Zealand
- Poland
- Romania
- Slovakia
- South Africa
- Taiwan
- Uzbekistan
- Vietnam
- 33 more »
- « less
-
Program
-
Field
- Medical Sciences
- Computer Science
- Economics
- Engineering
- Biology
- Science
- Business
- Materials Science
- Mathematics
- Arts and Literature
- Chemistry
- Education
- Psychology
- Social Sciences
- Physics
- Humanities
- Linguistics
- Electrical Engineering
- Environment
- Sports and Recreation
- Design
- Law
- Philosophy
- Earth Sciences
- 14 more »
- « less
-
Algorithms for Accelerating AC Power Flow Computations (HDS-LEE graduate school) Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS‑LEE project, we will use
-
, United States of America [map ] Subject Areas: Physics / Accelerator and Beam Physics , Accelerator Physics , Applied Physics , Astronomy , Astronomy and Astrophysics , Astroparticle Physics , Cosmology High Energy Physics
-
-generation AI accelerator architectures, with particular emphasis on tile-centric computing techniques. The project aims to explore novel architectural, system-level, and software–hardware co-design approaches
-
NEST: https://nest-simulator.readthedocs.io Your tasks in detail: Work with the NEST main code base and experimental branches Dissect the spiking network simulation cycle into phases and capture the flow
-
workflows to accelerate the discovery and optimization of advanced materials for energy applications. Within the SEMS group at IREC, the main objective is the implementation of an automated experimental
-
. In this project, we aim to develop digital tools combining density functional theory (DFT) and machine learning (ML) to accelerate the in-silico design of solid catalysts for the DA process. - Perform
-
Posting Details Posting Details Location St. Thomas Semester(s) Spring 2026 - Fall 2026 Number of Student(s) Requesting 1 Job Title VI APEX Accelerator - Administrative & Marketing Specialist
-
Posting Details Posting Details Location St. Thomas Semester(s) Spring 2026 - Fall 2026 Number of Student(s) Requesting 1 Job Title VI APEX Accelerator - Administrative & Marketing Specialist OTS
-
these exiting domains. Topics include but are not limited to remote direct memory access, hardware offloading and acceleration, AI for networking and security, storage management, cryptography, and architecture
-
to ensure students across campus are receiving the support they need to accelerate their ideas for impact; ensuring Trust Center mentorship and support is reflective of a rapidly changing world, from how you