Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- American University
- Bangor University
- East Carolina University
- Midlands Graduate School Doctoral Training Partnership
- Natural Resources Institute Finland (Luke)
- New York University
- Oak Ridge National Laboratory
- Tilburg University
- UNIVERSIDAD POLITECNICA DE MADRID
- University College Cork
- University of Arkansas
- University of Oxford;
- 3 more »
- « less
-
Field
-
another, share ideas, and work collaboratively. UCC is committed to being an employer that recognises the value of diversity amongst its staff. We encourage applicants to consult our policies at https
-
opportunities in which everyone can realize their potential is important to us. The following links provide further information on diversity and equal opportunities: https://go.fzj.de/equality and on specific
-
is an E-Verify employer. Visit https://www.american.edu/hr/ for additional information about American University employment and benefits. Current American University Employees American University
-
will enable predictive simulations of structural, thermodynamic, and kinetic properties in complex systems relevant to catalysis, supramolecular chemistry, and biology. The candidate will benefit from
-
delivering the PG Dip in DBT, which is specifically designed to aid mental health professionals treating the most complex and high-risk clients to achieve accreditation with the Society of DBT in the UK and
-
Work Where You Learn: Build Experience, Grow Skills, and Contribute to Your University Community. This position is available only to enrolled American University students. Important guidance
-
, the Helmholtz Association is Germany's largest scientific organisation. Where to apply E-mail karriere@fz-juelich.de Website https://www.fz-juelich.de/en/careers/jobs/2025D-177 Requirements Additional Information
-
Midlands Graduate School Doctoral Training Partnership | Loughborough, England | United Kingdom | 27 days ago
The Midlands Graduate School is now inviting applications for an ESRC Strategic Joint Studentship between Loughborough University (where the student will be registered)and the University
-
geometries. Current simulation-based approaches require complex 3D meshes and are often too slow for practical medical use. This project aims to create accurate and rapid surrogate models by combining physics
-
, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular geometries. Current simulation-based approaches require complex 3D meshes and are often too slow