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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
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- Computing: Experience with real datasets and parallel computing - Algorithm Development: Ability to develop and optimize Statistical algorithms for various applications. Research & Analytical Skills - Ability
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for Sustainable proteins, who will be assessing in parallel the protein digestibility, bio accessibility and bioavailability of alternative proteins Key Responsibilities: To carry out analytical biochemical
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part of a larger network, undergo persistent changes that ultimately lead to experience-dependent rewiring of the brain. In parallel to understanding how memories are formed, we are also keen to
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: 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
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supply security; Assessment of carbon pricing and carbon markets. The above list is not exhaustive, moreover, at any given point in time the institute undertakes multiple projects in parallel and
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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
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; Assessment of carbon pricing and carbon markets. The above list is not exhaustive, moreover, at any given point in time the institute undertakes multiple projects in parallel and opportunity will exist
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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
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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