Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may want to collaborate with researchers at academic institutions on specific projects of mutual
-
Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
(health insurance, paid leave, restaurant subsidy, etc.). Access to Inria’s computing infrastructure and to the ĀnandaBot project’s dedicated hardware (GPU servers, robot platforms). Integration in a well
-
one day a week on campus. Job description The computational biologist will be expected to: Lead the development of acoustic detection and classification algorithms for marine mammals. Evaluate algorithm
-
higher education credits (ECTS). Relevant courses include, for example, image processing, computer vision, machine learning, deep learning and neural networks, as well as courses in Python, GPU programming
-
80%-100%, Zurich, permanent The High Performance Computing group at ETH Zurich provides world-class HPC and AI/ML infrastructure to researchers across all departments. We operate compute clusters
-
experience in research computing and a passion for empowering new users of advanced cyberinfrastructure (CI). UNLV is an emerging R1, EPSCoR institution with a growing investment in expanding
-
tasks and meet competing deadlines by using judgement and initiative. Desirable Skills and Experience (Advantageous but not Essential): Experience with high‑performance compute (HPC) or GPU‑accelerated
-
2026 - 23:59 (Europe/Madrid) Country Spain Type of Contract Permanent Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Sep 2026 Is the job funded through the EU Research Framework Programme
-
for a researcher in gravitational wave astronomy at the Institute of Applied Computing and Community Code (IAC3, http://iac3.uib.es ) funded by the Beatriz de Galindo fellowship (BG24/00137) supported
-
Demonstrable ability in the use of multivariate statistics and state-of-the-art emulation (including physics-informed machine learning and neural operators) C2 Practical skills in computational inference