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infrastructure, and GPU/CPU cluster environments. This role leads and mentors a team of Systems Engineers and Administrators while remaining deeply technical and hands-on, actively designing, deploying, and tuning
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offshore programs to approximately 20,000 students. We are here to positively impact the world and create the next generation of STEM leaders. https://www.rmit.edu.au/about/schools-colleges/stem-college
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of central London. For more information: https://www.kcl.ac.uk/engineering About the role This role will support the delivery of a mesh generation project, funded under a recent major £7m EPSRC Programme Grant
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Endstation of Micro‑ and Nanofocus X-ray Scattering Beamline (P03/MINAXS), along with supporting laboratories (https://gems.hereon.de). The techniques offered at our diffraction beamline P61A have a strong
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description With the increasing complexity of numerical simulation codes, new
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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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models, LLMs and Transformer architectures Excellent programming skills in PyTorch/JAX and experience working with GPUs and high-performance clusters. Strong mathematical skills with excellent
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will benefit from the Jean Zay supercomputer to perform intensive GPU calculations but also MARBEC/LIRMM GPU shared resources (https://umr-marbec.fr/recherche/dispositifs-de-recherche/den/ ). His/her
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learning, multicore and GPU programming, and highly parallel systems. Good knowledge in one or more of the following programming languages/environments: C/C++, Python, PyTorch (or similar), and Cuda. Place