4,048 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"UCL" positions in United Kingdom
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background in Computing Science/Cyber Security/Computer Networks/Software Engineering or combination of both with relevant IOT/AI, IT, programming skills (C++, Python, Java or C#, OS etc.), CISCO Networking
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undertake risk assessments for daily tasks The ability to quickly develop and learn new skills Contributing as appropriate to ensure a positive safety culture within the team Basic knowledge and understanding
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., statistical modelling, Artificial Intelligence/Machine Learning) Experience in computational biology and bioinformatic analysis Proven ability to write detailed, technically accurate reports on complex research
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to learn. Good organisational and presentation skills. The ability to work well in an interdisciplinary environment. Further information: This position is offered full time, fixed term for 18 months
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cutting-edge courses, modern pedagogy and practical knowledge, we enable our students and staff to experience the joy of learning, teaching, research and innovation, and apply their knowledge
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knowledge across disciplines and rapidly acquire understanding of other disciplines. Statistical skills including regression models, distributed lag non-linear models, hierarchical models, machine learning
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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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experts at University Hospitals Coventry & Warwickshire/NHS Trust. The research will involve emulating laparoscopic surgical tasks using a robotic platform under varying network conditions. Machine learning
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through to create outstanding learning opportunities. They will have excellent communication skills, have empathy, understanding and the ability to inspire and engage young people to excel and achieve
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application of innovative Machine Learning (ML) frameworks to understand and predict the global hydrological cycle. The role will require bridging the gap between process-based physical modeling and scalable