Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Employer
- Nature Careers
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Eindhoven University of Technology (TU/e)
- Michigan State University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- Aalborg University
- Blekinge Institute of Technology
- Central China Normal University
- DURHAM UNIVERSITY
- Delft University of Technology (TU Delft); yesterday published
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- McGill University
- Swansea University
- University of Aveiro
- University of Cambridge;
- 5 more »
- « less
-
Field
-
, you’ll join a technically driven, publication active team known for research in computational modelling, CFD, numerical methods and high-performance computing, with a strong culture of code quality, open
-
steady and transient state, at scales ranging from nanometres to millimetres. Develop numerical methods to capture droplets evaporative behavior accurately Compare and validate numerical results with
-
algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational
-
[map ] Subject Areas: Mathematics; Physics; Astrophysics; High Performance Computing; Machine Learning Appl Deadline: 2025/12/15 11:59PM (posted 2025/11/20, updated 2025/11/03, listed until 2026/05/15
-
hired at BTH will mainly focus on two aspects of neuromorphic computing: Guidelines / frameworks for mapping applications to neuromorphic systems. Efficient training methods of neuromorphic applications
-
of parallel programming and experience developing methods for 2D and 3D problems are critical. Experience working with open source software frameworks and/or using modern open source code development
-
application. the Official Grade Lists of your BSc. and MSc. education, listing all your courses taken and grades obtained. a separate list of your experience with continuum and computational mechanics in
-
substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
-
completion) in applied mathematics, computer science, or a closely related field. Strong background in numerical linear algebra, algorithm design, and parallel computing. Proficiency in programming languages
-
interdisciplinary collaborations. Leading-edge platforms including High Performance Computing, computational and cutting-edge data analytics methods, and growth and retention of vital capacity in research software