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Field
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-electron density, its spatial confinement, relaxation behaviour, and the resulting modification of optical constants—providing the basis for next-generation advanced manufacturing steps for GPUs or CPUs. Be
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departmental CPU/GPU computing resources and Imperial’s Research Computing Service. • A vibrant, interdisciplinary research culture, with partnerships such as the CNRS–Imperial de Moivre Laboratory
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software in high-performance computing (HPC) environments. Experience with parallel and accelerated computing frameworks (e.g., OpenMP, MPI) and familiarity with GPUs and large-scale storage systems. Strong
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of machine learning and clinical oncology, with access to a large multimodal research dataset, substantial GPU resources, and a collaborative scientific environment. Your tasks Design and implement LLM-based
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- 12:00 (UTC) Country Sweden Type of Contract Temporary Job Status Full-time Hours Per Week 40 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Reference Number
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, optimization, or high-performance computing is highly desirable Experience with quantum software frameworks (e.g., Qiskit, PennyLane, Cirq) or HPC programming (MPI, OpenMP, CUDA, GPU computing) is considered
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industry partners to train, benchmark, and deploy state-of-the-art models using high-performance computing resources. Primary Responsibilities: Overseeing the continued development and maintenance of a large
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, with experience in research computing or large-scale distributed systems totaling nine [9] years may be considered. Five [5] years of experience in cybersecurity, with experience in research computing
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, with experience in research computing or large-scale distributed systems totaling nine [9] years may be considered. Five [5] years of experience in cybersecurity, with experience in research computing
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
of Electrical and Computer Engineering, and industrial partners involved in the development of the DREAM platform. Job assignments The candidate will become part of a multidisciplinary team of scientists