Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, deformation mechanisms and mechanical performance, ultimately enabling more efficient design and optimization of advanced structural materials. [1] https://www.pepr-diadem.fr/projet/ammetis-2/ [2] https
-
. Strong experience developing, deploying, and optimizing applications and workflows in high-performance computing (HPC) environments. Demonstrated programming proficiency in C/C++ (preferred) and Python
-
the data from HEP experiments is strongly required Programming expertise in Python and either PyTorch or TensorFlow is required Experience using High-Performance Computers (HPCs) is preferred Ability
-
development, and High-Performance Computing (HPC). The postdoctoral researcher will have opportunities to engage in these areas in support of physics goals. Key responsibilities Lead and contribute to ATLAS
-
Salary Range $62,941-103,834/year Type of Position Staff Position Time Status Full-Time Required Education MS Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk
-
" section on the Applicant Portal at https://uscjobs.sc.edu. Research Grant or Time-limited positions may be eligible for all, some, or no benefits, based on the grant or project funding. South Carolina
-
Performance Computing (HPC) Job Class Code MA46/MA47 Appointment Status Full-time Part-time FTE Limited Term No Limited Term Length Job Summary The Office of Information Technology at Auburn University is
-
therapeutic strategies. - DNA-protéines complexes modeling - Molecular dynamics simulations of biomolecules - Enhanced sampling techniques (Steered MD, Gaussian Accelerated MD) - HPC resources use - Scientific
-
simulations to serve as a collaborative workspace and “machinery of discovery” for researchers, educators, and the public In all of these activities, you will make use of JSC’s cutting-edge HPC- and Quantum
-
Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 29 days ago
leverage machine learning techniques to bypass IO bottlenecks in the context of physics simulation on high-performance computing (HPC) clusters. This work is thus placed in a broader ``Machine Learning for