Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- Forschungszentrum Jülich
- Zintellect
- Curtin University
- University of Arkansas
- University of Minnesota
- University of Melbourne
- Princeton University
- Rutgers University
- Swansea University
- Tilburg University
- University of Oxford
- University of Tennessee at Chattanooga
- Cyprus University of Technology
- Istituto Nazionale di Fisica Nucleare
- Japan Advanced Institute of Science and Technology
- National Research Council Canada
- Queen Mary University of London;
- The University of Auckland
- UNIVERSITY OF ADELAIDE
- University of Adelaide
- University of London
- University of Oxford;
- University of Tennessee, Knoxville
- University of West London
- Virginia Tech
- 15 more »
- « less
-
Field
-
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
-
, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related
-
Position: No Job Type: Temporary (Fixed Term) Work Shift: Sponsorship Available: No Institution Name: University of Arkansas at Pine Bluff The University of Arkansas at Pine Bluff is an 1890 Land-Grant HBCU
-
Position: No Job Type: Temporary (Fixed Term) Work Shift: Sponsorship Available: No Institution Name: University of Arkansas at Pine Bluff The University of Arkansas at Pine Bluff is an 1890 Land-Grant HBCU
-
, extending them with physics-based approaches, and adapting existing physics-integrated neural network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring
-
, or machine learning Solid mathematical and physics background, distinct analytical skills Very good programming (Python, C++) and computer (Linux, Windows) skills Excellent cooperation and communication skills
-
, computer science or mathematics (or a related field), with a focus on computer vision, image processing, or machine learning Solid mathematical and physics background, distinct analytical skills Very good
-
, helping to shape future research infrastructure Present your results on conferences in Germany and abroad Your Profile: Excellent Master’s degree in statistics, physics, mathematics, or a related
-
both synthetic and real-world datasets. Synthetic benchmarks will be generated using established generative models capable of producing ground-truth synchronous patterns under varying conditions to
-
access to resources and experiences that promote economic, ecological, and social vitality; connecting people to the land and one another; and delivering world-class science, technology and land management