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. CPUs/GPUs) and their use in high-performance computing through shared or distributed parallel programming (e.g. OpenMP, MPI). Strong programming ability in C++ or a related language. Experience in
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interface which handles large processing tasks efficiently and uses multiprocessing and GPU acceleration where necessary. At the same time, the software must be lean enough to run not only on powerful
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) specifically for GPU resource management and model training. More Information Location: Kent Ridge Campus Organization: Asian Institute of Digital Finance Department : Credit Research Initiative Employee
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architectures (e.g. CPUs/GPUs) and their use in high-performance computing through shared or distributed parallel programming (e.g. OpenMP, MPI). 3. Strong programming ability in C++ or a related language. 4
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these resources through a cloud-native Kubernetes environment integrating large-scale CPU and GPU resources, Ceph object storage, BinderHub, Coffea-Casa, Dask, and ServiceX. This platform supports more than 500
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to clinical data; design interpretable representation spaces for tumor-immune dynamics and therapy response. Technical Expertise (25%) – Engineer LLM and diffusion/flow-matching pipelines; integrate multi-GPU
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Tenure-track Assistant and Associate Professorship positions in Data Science and Machine Learning...
cryptography. We also offer: World-class facilities: Access to state-of-the-art local High-Performance Computing through CPU and GPU clusters at the SDU eScience Centre , as well as to national and European
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, Pandas, SQL, Docker, git, etc. PyTorch skills: experience in training machine learning models with one or more GPUs; ability to work with pre-existing codebases and get a training run going A versatile
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- GPU. What we offer As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below: 41 Days holiday (27 days annual leave 8 bank holiday and 6 closure
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of automation systems for software deployment, configuration management, CI/CD, and environment lifecycle processes. Partner with researchers and domain experts to optimize applications for CPU/GPU architectures