Sort by
Refine Your Search
-
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
-
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
-
: 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
-
experience with modeling and simulation, data science and/or machine learning, parallel and distributed computing, or hardware accelerators will be advantageous We regret that only shortlisted candidates will
-
Units (GPUs) have become pervasive computing devices. They are massively parallel machines that provide a cost-effective solution for high-performance computing applications. Their application in discrete
-
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
-
and written communication skills Previous experience with modeling and simulation, artificial intelligence, or parallel and distributed computing will be advantageous. We regret that only shortlisted
-
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