Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
- Computer Science
- Medical Sciences
- Biology
- Economics
- Engineering
- Mathematics
- Science
- Chemistry
- Materials Science
- Linguistics
- Earth Sciences
- Electrical Engineering
- Humanities
- Psychology
- Arts and Literature
- Environment
- Law
- Social Sciences
- Business
- Design
- Education
- Sports and Recreation
- 12 more »
- « less
-
, massively parallel genomic/proteomic/clinical]. Data management and analysis solutions that aid in the storage, investigation, and dissemination of large data sets. Independent research projects, including
-
collaborating experimental research groups. Previous experience in computational modeling of atmospheric aerosols and parallel computing/software development is strongly desired. The term of appointment is based
-
in AI to study natural and artificial minds in parallel, creating the opportunity to make discoveries about ourselves and to find new ways to understand and improve AI systems. Appointments will be
-
, networking and mobile computing, parallel and high-performance computing, software engineering, types and programming languages, and web technologies. The Department currently has ten full-time faculty, four
-
23 Mar 2026 - 23:59 (UTC) Country France Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme
-
, computer science, simulation science with a strong background in applied mathematics Excellent programming skills (Python, C/C++) Good experience in machine learning and parallel computing Good organisational skills
-
, that of the fruit fly Drosophila melanogaster. The Institute is a key performer in the NIH BRAIN CONNECTS program, which aims to scale connectomics up to the whole mouse brain. This is a one-year term position with
-
academic areas. Learn more at https://www.uta.edu/administration/president/strategic-plan/rise100 . This is an exciting time to join UTA and contribute to its bold vision for the future. Working Title EEO
-
to enable massively parallel processing of ABMs on NVIDIA graphics processing units (GPUs), without the need for specialist understanding of GPU programming or optimisation. This project will explore
-
) experience in code development with parallel programming techniques using the message passing interface (MPI) library Proficiency in writing code with C, C++ and/or Python Ability to demonstrate strong written