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: Linux system administration, scripting and/or application development, OpenStack, Ansible, Terraform, container technologies, GPU/AI software stacks, research-computing workflows. Brief Description
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(including numerical optimisation, variational methods and MCMC sampling) C3 State-of-the-art deep learning (including transformers, graph neural networks and normalising flows) C4 Use of GPU programming and
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: Linux system administration, scripting and/or application development, OpenStack, Ansible, Terraform, container technologies, GPU/AI software stacks, research-computing workflows. Brief Description
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managing GPU-enabled infrastructure (NVIDIA GPUs, CUDA, multi-GPU systems) in cloud and/or on-prem environments. Familiarity with GPU orchestration in Kubernetes (e.g., NVIDIA device plugin, GPU scheduling
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. Excellent office, programming, and communication skills are essential. SPARC offers GPU/HPC infrastructure, large biomedical data assets, deep clinical partnerships, and direct opportunities to translate
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platforms (GPU/accelerated workloads): capacity planning/quotas, cluster or managed compute configuration, distributed training concepts, performance tuning, and chargeback/showback in cloud environments.
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environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming Familiarity with Python programming Experience with modern software development
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environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming Familiarity with Python programming Experience with modern software development
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environment Experience with surrogate modeling Experience with data analytics techniques Familiarity with C++ and GPU programming Familiarity with Python programming Experience with modern software development
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to communicate and collaborate effectively in an international and interdisciplinary research environment. Desirable skills Experience in high-performance computing, including parallel programming and/or GPU-based