Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Oak Ridge National Laboratory
- Argonne
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Baylor College of Medicine
- CNRS
- University of Washington
- Aarhus University
- Institute of Bioorganic Chemistry Polish Academy of Sciences
- Lawrence Berkeley National Laboratory
- NEW YORK UNIVERSITY ABU DHABI
- Rutgers University
- THE UNIVERSITY OF HONG KONG
- University of Florida
- University of North Texas at Dallas
- University of Oxford
- Utrecht University
- CNRS-LMA
- Chalmers University of Technology
- Cornell University
- FAPESP - São Paulo Research Foundation
- Helmholtz-Zentrum Berlin für Materialien und Energie
- Helmholtz-Zentrum Hereon
- ICN2
- Inria, the French national research institute for the digital sciences
- Lehigh University
- Liverpool School of Tropical Medicine;
- Loyola University
- McGill University
- National Aeronautics and Space Administration (NASA)
- Northeastern University
- Pennsylvania State University
- Purdue University
- SciLifeLab
- Stony Brook University
- Swedish University of Agricultural Sciences
- Texas A&M AgriLife
- University of California
- University of Central Florida
- University of Delaware
- University of Hull;
- University of Luxembourg
- University of Maryland, Baltimore
- University of Minnesota
- University of New Hampshire
- University of North Carolina at Chapel Hill
- University of Oxford;
- University of Sydney
- University of Texas at Arlington
- Virginia Tech
- 39 more »
- « less
-
Field
-
calculation campaigns on HPC resources using Python-based scientific workflows. Publish results in peer-reviewed journals, present findings at international conferences and contribute to the supervision
-
, demonstrating strong proficiency in electronic structure calculations, high-performance computing (HPC), and code development for molecular spectroscopy. This full-time, 3-year position supports the STFC-funded
-
-on experience and understanding of developing and applying HPC algorithms to scientific and ML models. Demonstrated research experience with AI and ML techniques. Preferred Qualifications: Experience with
-
-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance computing
-
experiment at CERN. Together, the groups offer an international environment with a wide network of collaborators, generous support for conference travel, and access to national HPC resources (NAISS) and local
-
-dimensional analyses (e.g., R, Python) Expertise with use of High Performance Computing (HPC) clusters, job scheduling software, and a UNIX/Linux environment Excellent written and oral communication skills Pay
-
error estimate, and a full record of how it was computed. Build and scale MLIP/MD/DFT workflows (e.g., atomate2, MACE/CHGNet/UMA-class potentials) to hundreds of compositions on HPC. Validate predictions
-
externally. Experience of controlled human infection or vaccination studies, integration of single-cell and multi-omic datasets, machine learning or AI approaches, and HPC or cloud computing would be
-
languages, and familiarity with HPC and MLOps practice would be desirable. The duties and skills required are described in further detail in the job description. Application process Applications
-
-state models for kinetics, and (vi) experience in coding and HPC workflows. Knowledge of or experience in Bayesian uncertainty quantification, generative diffusion models with a general familiarity with