Sort by
Refine Your Search
-
Listed
-
Category
-
Country
- United States
- Germany
- Netherlands
- United Kingdom
- France
- Sweden
- Denmark
- Spain
- Morocco
- United Arab Emirates
- Finland
- Belgium
- Switzerland
- Portugal
- Hong Kong
- Poland
- Australia
- Japan
- Ireland
- Luxembourg
- Norway
- Taiwan
- Canada
- China
- Singapore
- Brazil
- Czech
- Saudi Arabia
- Austria
- Italy
- Mexico
- Cyprus
- Greece
- South Africa
- New Zealand
- Romania
- Slovenia
- Turkey
- 28 more »
- « less
-
Field
- Computer Science
- Biology
- Engineering
- Medical Sciences
- Science
- Economics
- Materials Science
- Chemistry
- Mathematics
- Environment
- Psychology
- Electrical Engineering
- Law
- Earth Sciences
- Physics
- Business
- Arts and Literature
- Humanities
- Education
- Philosophy
- Social Sciences
- Design
- Linguistics
- Sports and Recreation
- 14 more »
- « less
-
framework (e.g., OpenFOAM, ANSYS Fluent). Solid understanding of heat and mass transfer, turbulence modeling, and reaction kinetics. Experience with high-performance computing (MPI, parallel simulations) is
-
processing, while maintaining high efficiency and selectivity in flotation performance. Responsibilities: Develop and synthesize bio-based flotation additives (e.g., collectors, dispersants, depressants
-
. Experience in numerical methods and CFD development using mesh-based scientific codes. Expertise in the lattice Boltzmann method (LBM) as evidenced by their publications High performance computing (HPC
-
Number: 6791048 Postdoctoral Research Associate About the Opportunity This job description is intended to describe the general nature and level of work being performed by people assigned
-
-temperature and/or high-pressure power cycles and/or components, or sCO2 cycles and/or components thermal processes or high-pressure systems High-Performance-Computing Software toolset development Research
-
. The group will be contributing to the Physics Modeling (MC software, MC validation and Pileup modeling), the MET High-Level Trigger validation, optimization and performance studies, and to the heterogeneous
-
, Computer Science, or related disciplines. Knowledge and Professional Experience: · Knowledge of programming languages used in data analysis (particularly python) is strongly recommended. · High Performance
-
existing efforts in the group and the division. The Argonne High Energy Physics Division provides a vibrant and collaborative research environment. In addition to a strong theory program, the Division has
-
maintain semi-automated design-to-build pipelines, high-throughput testing systems, and quality-control processes to ensure reproducibility, scalability, and performance. Support collaborative projects with
-
Recognised Researcher (R2) Country Sweden Application Deadline 13 Jan 2026 - 22:59 (UTC) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not