Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Employer
- California Institute of Technology
- Inria, the French national research institute for the digital sciences
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- Nature Careers
- CNRS
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Forschungszentrum Jülich
- Oak Ridge National Laboratory
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- DTU Electro
- DURHAM UNIVERSITY
- Durham University
- Michigan State University
- Nanyang Technological University
- Technical University Of Denmark
- Technical University of Denmark
- University of California
- University of Glasgow
- University of Kansas
- Zintellect
- AI4I
- Aalborg University
- Brookhaven National Laboratory
- Center for Theoretical Physics PAS
- Central China Normal University
- Cranfield University
- Delft University of Technology (TU Delft); Published yesterday
- Delft University of Technology (TU Delft); yesterday published
- Duke University
- ETH Zurich
- Ecole Centrale de Lyon
- Eindhoven University of Technology (TU/e); Eindhoven
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- INSTITUTO DE ASTROFISICA DE CANARIAS (IAC) RESEARCH DIVISION
- Lawrence Berkeley National Laboratory
- McGill University
- Simons Foundation/Flatiron Institute
- Swansea University;
- The University of Alabama
- University of Alabama, Tuscaloosa
- University of Aveiro
- University of Birmingham;
- University of California Davis
- University of California, Berkeley
- University of Cambridge;
- University of Canterbury
- University of Sheffield
- University of Southern California
- University of Southern California (USC)
- University of Southern Denmark
- University of Texas Rio Grande Valley
- University of Texas at Austin
- Université Côte d'Azur
- Université de Lorraine
- Virginia Tech
- Weizmann Institute of Science
- 47 more »
- « less
-
Field
-
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
-
-scale foundation models, especially pipeline/model parallelism. Track record of creating HPC software for numerical methods. Domain expertise in areas like computational fluid dynamics, material
-
of numerical methods Geophysical fieldwork experience, preferably with GPR and EMI Strong English writing skills Since the work involves interdisciplinary cooperation with several researchers and technicians
-
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
-
of numerical quantum many-body methods to study model Hamiltonians. Strong background in linear algebra. Preferred Qualifications: Experience with density matrix renormalization group and tensor network
-
network, including 4 training schools and two workshops. As a participant of the project, the PhD student will become part of a team at DTU with numerical and experimental expertise in photonic computing
-
experience Demonstrated programming expertise in MATLAB and/or Python (object-oriented design, numerical methods, scientific visualization) Prior experience in scientific computing or within the subsurface
-
advanced many-body methods, high-performance computing, and machine learning approaches. The successful candidate will play a leading role in developing computational methods and high-performance algorithms
-
edge of energy systems and computational engineering, developing scalable methods to simulate and secure IBR-dominated grids. Your key responsibilities include: Conducting large-scale simulations
-
of Architecture and the Built Environment), where you will collaborate closely with a parallel PhD project within the Faculty of Aerospace Engineering focused on meshfree numerical methods. Together, you will work