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requires a keen interest in Autonomous Systems, Machine Learning and AI. The Universitys Civic Health Innovation Labs (CHIL) is working with partners to deliver the CHI-Zone. This funded post sits within
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on corporate misconduct, including financial fraud, insider trading, and bribery, utilizing advanced machine learning techniques. The position will be based at the ULMS campus with the option for hybrid working
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programming skills around data science, AI and machine learning such as Python, SQL, MATLAB, R, Pycharm, data analysis, dashboarding, relational databases and working with large datasets.With a good
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pathogens and vectors, using artificial intelligence¿. In this role, we are looking for a senior bioinformatician, with expertise in machine learning and large-scale analysis (particularly genomics and/or
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accelerating wound-healing. This role focuses on machine-learning and high-throughput methodologies to accelerate the experimental design and optimisation of these microgels. The project is part of a
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expertise in large-scale data analysis e.g. using HPC. You should have a PhD in structural bioinformatics, or related area, and interest in understanding protein structure/function. Knowledge of machine
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, artificial intelligence/machine learning, digital twins, and blockchain technology for operations and maintenance. This position is part of the RESTORE project, which aims to develop, test, and deploy
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of materials (e.g., combining structure prediction and machine learning). For example, we work closely with experts in computer science as part of the Leverhulme Research Centre for Functional Materials Design
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machine learning is essential; while structure prediction or materials chemistry experience would be advantageous, it is not a pre-requisite for the role. This post would be ideal for an ambitious and
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-infrastructure supporting digital health projects. You will engage with data scientists and domain experts to ensure data accessibility, accuracy, and utility for machine learning and predictive modelling