Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- Universidade de Coimbra
- National Renewable Energy Laboratory NREL
- Pennsylvania State University
- University of Utah
- Zintellect
- Aston University
- Auburn University
- Boston Children's Hospital
- Emory University
- HONG KONG BAPTIST UNIVERSITY
- Heriot Watt University
- Instituto Nacional de Investigação Agrária e Veterinária, I.P.
- Leibniz
- Northeastern University
- Oak Ridge National Laboratory
- Ryerson University
- SUNY Polytechnic Institute
- The University of Auckland
- University of Michigan
- University of Oxford
- University of Saskatchewan
- 12 more »
- « less
-
Field
-
research project). Experience with large datasets and statistical analyses (e.g., regression models) in R, STATA, or similar software is desirable. We particularly welcome applicants interested in
-
models for predicting stress fields in patient-specific arteries. Especially high stresses in plaque can lead to rupture, which is one cause of a stroke and thus the prediction of plaque rupture is very
-
approaches across a range of model organisms to understand how and why we age. As a PhD candidate at FLI, you’ll be part of an international and interdisciplinary environment where basic science meets
-
to model development, experimentation, data processing, and performance evaluation as part of an active research environment. Responsibilities Implement and experiment with computer vision models using
-
Research, MIT to support research projects on developing medical devices for treating diabetes. This is a highly interdisciplinary project at the intersection of device engineering, materials science, and
-
interpretable, synthesis-proximal modifications to known materials. Create generative models for material discovery adhering to strict physical constraints needed for stable and synthesizable crystal structures
-
Your Job: We are looking for a PhD student to contribute to the development of fast, accurate, and physics-informed machine learning models for predicting blood flow in patient-specific vascular
-
on NLR’s HPC Collaborate with NLR researchers to assess tradeoffs between model detail and computational time Process and visualize results to inform algorithmic design Author, present and assist in
-
: The Applied Mathematics Research Associate will be responsible for a wide variety of data-oriented tasks, including: ● Literature review of the current state of the art in epidemiological modeling. ● Develop
-
occupants as it relates to occupant injuries, crash protection, and occupant accommodation. Biosciences researchers use state-of-the-art laboratory testing facilities, computer modeling, and data analysis