Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- American University
- Oak Ridge National Laboratory
- East Carolina University
- Loyola University
- Midlands Graduate School Doctoral Training Partnership
- Natural Resources Institute Finland (Luke)
- The University of Chicago
- UNIVERSIDAD POLITECNICA DE MADRID
- University College Cork
- University of Arkansas
- University of Oxford
- University of Oxford;
- 3 more »
- « less
-
Field
-
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
-
, 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 | 2 months 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
-
, 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
-
on doctoral degrees at Forschungszentrum Jülich (including its various branch offices) is available at https://www.fz-juelich.de/en/careers/phd We welcome applications from people with diverse backgrounds, e.g
-
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
-
, or machine-learning frameworks is an asset Strong analytical skills with a solid understanding of data evaluation, modeling, and interpretation of complex datasets Ability to work independently as
-
30 Jan 2026 Job Information Organisation/Company UNIVERSIDAD POLITECNICA DE MADRID Department HRS4R Research Field Engineering » Biomedical engineering Researcher Profile First Stage Researcher (R1
-
environment at the interface between neuroscience and digital technologies, enabling scientific progress on the most complex known systems Outstanding scientific and technical infrastructure A highly motivated
-
neuroscience and digital technologies, enabling scientific progress on the most complex known systems Outstanding scientific and technical infrastructure A highly motivated group as well as an international and