Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Physics , Non-equilibrium many-body theory , Superconductivity Appl Deadline: (posted 2024/10/10, listed until 2025/06/01) Position Description: Apply Position Description Applications are invited to a
-
FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
environment Access to state-of-the-art tools and computational infrastructure, including CPU/GPU clusters Opportunity to contribute to cutting-edge research in plant evolution and genomics Support
-
. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical
-
. The expected base pay range for this position is listed in Pay Range field. The pay offered to the selected candidate will be determined based on factors including (but not limited to) the qualifications
-
mainly computational work to exploit GPUs using directive-based accelerator offloading in the CASTEP code . CASTEP is a leading software package for calculating the properties of materials from first
-
them on massively parallel computers ? CPU, GPU, and APU systems. The successful candidate will work with Prof. Uri Shumlak and Prof. Jingwei Hu and contribute to a project that combines novel low-rank
-
(GPU based) Proficiency in data analysis using Python, Matlab, or similar Self-motivating, independent-minded scientific researcher, effective collaborator Excellent written and oral communication skills
-
research facilities, including a high-performance computing (HPC) cluster with ~30,000 cores and 34 GPU nodes. Start Date: The position can begin as early as September 2025. Applications will remain open
-
to world-class research facilities exclusive to NYUAD researchers, including an HPC cluster with ~30,000 computing cores and 34 GPU nodes. The position may start as early as September 2025. Applications will
-
international collaborators. Access to extensive computational resources is provided through the Icelandic Research e-Infrastructure (IREI) project, which includes clusters with thousands of CPU and GPU cores