338 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" PhD scholarships in United Kingdom
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for personalised healthcare, delivered through health promotion conversations that may otherwise not occur due to NHS capacity pressures. At the same time, enhancing experiential learning, reflective practice, and
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/ masters degree (chemical engineering, chemistry, physics, environmental chemistry / engineering, or similar) Willingness to learn and adapt to new disciplinary areas. Ability to manage and lead independent
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collaborative research environment, with strong links to the NHS, local authorities, and community partners. During the placement, the student will engage with rich cohort data, and learn about the design
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related to medicines synthesis. Eligibility and Application: We are seeking an enthusiastic and motivated candidate with a strong willingness to learn new disciplines and innovate to achieve project goals
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and interpretable deep learning models to upscale species-level mapping to regional satellite products. Organise co-creation workshops with local stakeholders and generate decision-ready indicators
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to undertake collaborative, team-based research, present your findings at conferences and learn how to make impactful contributions to society. Entry requirements Applicants should have a 2:1 at UG Hons
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of real-time adaptive 3D inspection, dynamically adjusting its measurement strategy based on data quality as well as environmental and scene cues. Positioned at the intersection of robotics, computer vision
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essential, as learning and training will be expected during the PhD study. Funding support After a suitable candidate is found, funding is then sought from the University of Nottingham as part of a
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to: Develop automated computer aided design (CAD) and meshing pipelines to generate a library of arterial geometries representing common geometric archetypes (e.g. curved vessels, bifurcations, side branches
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no.: 5202 Among the many good reasons to want to research and teach at the University of Vienna, there is one in particular, which has convinced around 7,500 academic staff members so far. They see themselves