Sort by
Refine Your Search
-
Strong foundation in CFD, Programming proficiency such as Python, AI/ML techniques, Experience with parallel computing on CPU/GPU cluster, use of CUDA, MPI is a plus. Experience Experience with open-source
-
- Computing: Experience with real datasets and parallel computing - Algorithm Development: Ability to develop and optimize Statistical algorithms for various applications. Research & Analytical Skills - Ability
-
The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
-
for the quality of its medical expertise, facilities and teaching. The Neuroscience and the Mental Health Program is one of the leading research programs in the medical school. The key objective is to conduct both
-
: Proficiency in Python, PyTorch, JAX, or other ML frameworks - Computing: Experience with large-scale datasets, parallel computing, and GPUs/TPUs. - Algorithm Development: Ability to develop and optimize Machine
-
computing hardware, parallel file systems, job schedulers, and cluster management software. • Proficient in scripting and programming languages such as Python, Bash, and Perl. • Experience with Linux
-
statistical inference techniques. • Experience with health economic evaluations. • Experience with parallel and/or high-performance computing. The grade of appointment will be accorded based on candidate’s
-
reviewed • Understand the product thoroughly; Analyse, design and develop functionalities based on product requirements • Work with researchers to implement and develop parallel and distributed systems
-
model is employed to forecast renewable energy availability, providing crucial insights for the design optimization process. The ML-assisted operation tackles the dynamic optimization of parallel energy