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, stochastic optimization, modern machine learning methods, scalable algorithms for advanced Machine Learning techniques and explainable AI.In teaching, the position will contribute, inter alia
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peptides on cognitive functions, functional joint health, osteoporosis, and their optimal dosage. You will work at the exciting interface between clinical data collection and sports and nutritional research
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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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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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refurbishment projects. Your responsibilities will include managing project lifecycles, analysing stakeholder feedback, and applying best practice principles to deliver optimal engineering solutions. You will
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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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quantitative analysis skills and experience developing algorithms and/or conducting statistical analyses with biological datasets. Background and work knowledge in statistics, algorithms, optimization of novel
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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