4,073 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"ISCTE-IUL" positions in United Kingdom
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willing to learn new applications. Benefits Membership of the OSPS pension scheme, free medical insurance (taxable benefit), 30 days annual leave (plus bank holidays), free meals on duty, use of on-site gym
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to gain academic research experience and to learn from leading academics. The ideal candidate for this role will have a background in qualitative social science research, such as literature reviews, surveys
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Analytics & Machine Learning Fundamentals of AI Deep Learning & Neural Networks Computer Vision & Natural Language Processing Develop course materials and curricula aligned with international standards and
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publishing work as lead author. Experience with machine learning methods for modelling human learning, such as knowledge tracing and/or experience with conducting research that involves prompting or fine
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’. The role-holder will work closely with medicinal chemists at University of Oxford and pharmacologists at University of Glasgow, applying virtual screening, machine learning, AI-driven generative chemistry
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: Experience in software development in topics such as computer vision, audio signal processing, machine learning, deep learning, and/or sensor systems. Experience in collaboration and technology transfer
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nutrition, genetic, lifestyle and environmental data; Aim 2. Utilise AI and advanced machine learning approaches to identify novel gene-nutrient interactions to inform personalised nutrition solutions
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are currently looking to appoint Hourly Paid Tutor(s) in IT with background in Cloud Computing/Computing Science/Cyber Security/Computer Networks/Software Engineering or combination of these specialisations with
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AI, Machine Learning and/or Data Science, most likely in two or more of the following subject areas: Artificial intelligence – both technical understanding and user application aspects Machine Learning
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. Strategies will centre on improved formulations of the mixed-integer constraints, as well as the use of machine learning to accelerate conventional solution algorithms (e.g. branch and bound). The second goal