36 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Surrey
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science and applications. This project aims to develop the required formalism using modern probabilistic and machine-learning approaches, reformulating the problem in terms of conditional probabilities
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integrating machine learning, computational modelling, and experimental validation. The successful candidate will receive training in both computational and experimental biology within a highly collaborative
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(csrankings.org) Home to world-leading research in computer vision, AI, multimodal learning, and robotics You will join a vibrant and tightly knit team of more than 10 other researchers working on a range of
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/structural/mechanical engineering with experience and interest in structural dynamics, vibrational analysis, train-track-bridge interaction, signal processing, data science and machine learning. The successful
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Python and familiarity with LLM frameworks. Experience with machine learning, natural language processing, or time-series modelling. A strong interest in applying AI to engineering and energy-system
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which we provide will teach you everything you need to know to succeed, but there are a few requirements you’ll need to start: Basic computer literacy. Previous experience of working in a kitchen or pub
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evidence of their capability to teach marketing analytics and related areas across the curricula of UG and PG programmes. Industry experience, particularly in marketing-oriented roles with either MNCs
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and to academic colleagues working within the department. In addition, the postholder will also provide administrative support to colleagues in the Digital Learning team. This is a key role for an
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adults and people with learning disabilities. Successful candidates will: Work effectively as part of a team Be committed to developing trainee clinical competencies Ideally contribute to the programme’s
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organisational skills. You should possess good IT skills, including MS Office and must be willing to learn the different University IT systems. What’s in it for you? We think Surrey is a fantastic place to work