Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Oslo
- Nanyang Technological University
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- National University of Singapore
- UNIVERSITY OF SOUTHAMPTON
- CRANFIELD UNIVERSITY
- Centro de Engenharia Biológica da Universidade do Minho
- The University of Southampton
- Zintellect
- Aston University
- Brunel University London;
- Center for Drug Evaluation and Research (CDER)
- Cranfield University
- George Mason University
- Hong Kong Polytechnic University
- MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA
- MASARYK UNIVERSITY
- Macquarie University
- NYU Shanghai
- Paul Scherrer Institut Villigen
- Rutgers University
- Technical University of Denmark
- UNIVERSITY OF SURREY
- University of Birmingham
- University of Michigan
- University of Nottingham
- University of Otago
- University of Southampton;
- University of Surrey
- University of Warwick;
- 20 more »
- « less
-
Field
-
Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and
-
centres for aeroacoustics research. The successful candidate will join a dynamic and collaborative research environment supported by state‑of‑the‑art laboratories, high‑performance computing facilities and
-
centres for aeroacoustics research. The successful candidate will join a dynamic and collaborative research environment supported by state‑of‑the‑art laboratories, high‑performance computing facilities and
-
Fortran/C/C++ and high-performance computing Good knowledge in fluid mechanics, heat and mass transfer as well as surface phenomena. With good record in publishing research papers. Preferably with expertise
-
dynamics and wall interaction phenomena Implement AI/ML models and multiscale coupling procedures to bridge the lattice Boltzmann codes with a two-fluid Eulerian macroscopic code Co-development of codes
-
You You should have (or be due to submit soon) a PhD, or have equivalent experience, and have expertise in mathematical and computational modelling of fluid dynamic phenomena. Ideally, you will have
-
neural networks (including operator learning and surrogates), applications to Maxwell’s equations, fluid dynamics, multiphysics systems, quantum and control problems, and autonomous systems. Candidates
-
profiles using energy modelling tools • Build thermo-fluid dynamic models of HVAC and district cooling networks • Propose improved system architectures and network efficiency strategies • Design and validate
-
, computational fluid dynamics of the nozzles, additive manufacturing robot programming through slicer and characterisation of the deposits through EBSD, TKD and TEM. The Centre of Excellence in Coatings and
-
physics, physical chemistry, computational chemistry, statistical mechanics, or related fields Experience with molecular dynamics simulations (with GROMACS, OPENMM, LAMMPS, NAMD, AMBER, etc