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., LLMs). Familiarity with MLOps practices like model registries and drift monitoring. High-Performance Computing (HPC): Strong command of Slurm or PBS, GPU optimization with ability to scale distributed
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from outputs based on expert knowledge in area of practice. This role demands a high level of expertise in both public and on-premises cloud environments, focusing on creating, managing, and optimizing
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modelling framework multiple ML tasks as mentioned above, to ease the development burden from users. It will research unified and modular modelling strategies, capable of optimally fusing and aligning diverse
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assessments of need and identify optimal solutions. Further particulars are included in the job description. The post is full time 35 hours per week, 1 FTE and permanent In line with LSHTM’s hybrid working
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Adaptive Systems, Embedded AI, Nanoelectronic AI and Task-optimized Devices and Systems. https://www.mindscdt.southampton.ac.uk About You You will work in a team and will need to be adaptable, learning
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to watch this introductory video . What will you be doing? You will play a key role in enhancing data quality and optimizing our business systems and processes. You’ll collaborate across teams
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collaborate with a diverse team of clinicians, data scientists, and industry partners to integrate cutting-edge algorithms into clinical workflows. Your responsibilities will include designing and optimizing
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typically international funded grants, ensuring adherence to funding regulations, and optimizing grant administration processes. The role holder will report directly to the Research Grants Manager
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external providers. Offer professional advice focusing on optimal student outcomes based on evidence. Utilise data and feedback to measure service provision and consistency. About the School or About the
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accepted all year round Details Model predictive control (MPC) is a popular advanced control technique that solves a constrained optimal control problem, on-line, at each sampling instant. The first control