Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- United Kingdom
- France
- Germany
- Sweden
- Netherlands
- Portugal
- Spain
- Denmark
- Belgium
- Canada
- Poland
- Austria
- Morocco
- Australia
- Italy
- United Arab Emirates
- Czech
- Finland
- Singapore
- Switzerland
- Luxembourg
- Europe
- Japan
- Brazil
- Bulgaria
- China
- Ireland
- Israel
- Malta
- New Zealand
- Norway
- Uzbekistan
- 23 more »
- « less
-
Program
-
Field
- Computer Science
- Biology
- Medical Sciences
- Engineering
- Economics
- Science
- Mathematics
- Chemistry
- Environment
- Materials Science
- Arts and Literature
- Earth Sciences
- Electrical Engineering
- Psychology
- Social Sciences
- Humanities
- Education
- Law
- Physics
- Business
- Design
- Linguistics
- Sports and Recreation
- 13 more »
- « less
-
The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 1 month ago
and Experience: Distributed parallel training and parameter-efficient tuning. Familiarity with multi-modal foundation models, HITL techniques, and prompt engineering. Experience with LLM fine-tuning
-
preferably) Strong skills in turbulence modelling, CFD mesh generation and use of parallel computing Have relevant experience in working with aerosols and droplets Proficient in handling large data sets and
-
scales through component-based parallelism. The focus of the post-doc position is to design and implement this pipeline -- developing native reasoning for rich combinatorial constraints, creating tools
-
GPU-capable, parallelized simulation frameworks. Work closely with experts in HPC and power systems to enhance scalability and computational performance. Disseminate your findings through scientific
-
engineering Very strong mathematical and algorithmic background Programming experience (Python, C++, etc.) Familiarity with parallel programming frameworks (e.g. MPI, CUDA) Fluent in written and spoken English
-
for Quantum Science, with parallel faculty searches in the Chemistry and Electrical and Computer Engineering Departments. UF’s Artificial Intelligence and Informatics Research Institute brings together
-
techniques); giving mathematical proofs of their correctness and efficiency; building state-of-the-art implementations of these new techniques (e.g., by leveraging data-parallel functional array programming
-
exploitation of physical parallelism, from the realization of stronger all-optical nonlinearities and scalable synaptic devices to the design of efficient photonic memory architectures to support neuromorphic
-
at the semiconductor level will be explored, particularly for wide bandgap devices, leading to the development of a comprehensive fault identification and isolation scheme. In parallel, new power electronic topologies
-
differential equations. The individual must be able to immediately program in the software SFEMaNS using object-oriented Fortran 2033 and MPI. The individual must be familiar with the linear algebra parallel