338 machine-learning-"https:" "https:" "https:" "https:" "https:" positions in United Kingdom
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The job details are shown below. For further information click on the link for the job description. Are you an enthusiastic, competent and proactive team player, who is highly motivated to learn
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The job details are shown below. For further information click on the link for the job description. Are you an enthusiastic, competent and proactive team player, who is highly motivated to learn
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device health status through condition monitoring. AI techniques such as machine learning will be used to optimise gate driver performance and to map gate drive signal attributes to power device health
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contributing to multi-site or international collaborative research programmes, particularly in maternal, perinatal, or population health Experience applying machine learning or AI methods in healthcare research
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experiments for investigating the neural mechanisms underlying habitual behaviours and learning adaptation to uncertainty. You will use fMRI and neurostimulatory techniques (ultrasound neurostimulation and/or
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. The overarching aim of the project is to use machine learning methods to understand why many people who are referred for treatment will drop out prematurely. To do this, two studies are planned. One will use a
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technologies using novel hardware accelerators, and the development of fast simulations using generative machine learning techniques. Depending on the successful candidate’s experience and track record in
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Robotics to develop research in the field, e.g., robot design, control and mechatronics; Publication record in robotics and machine learning, e.g., ICRA, IROS, RSS, CoRL, T-RO, CVPR, ICML; Excellent verbal
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Experience in undertaking independent research. Desirable: F1 Experience of digital health methods, including AI and machine learning. F2 An emerging national or international reputation. Please note: This is
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, learning under uncertainty) that is of an international standard, and that is carried out expertly, rigorously and in accordance with ethical guidelines. You will also participate actively in the lab