367 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "Ulster University" PhD positions in United Kingdom
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modelling and dietary data interpretation. You will learn to use Nutritics for nutrient modelling and undertake hands‑on digestion studies using ethically approved masticated food samples. The project also
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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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teaching perspective, the successful candidate will have the ability and willingness to teach Public Law/EU Law. The post holder may also be supported to supervise undergraduate students. This post is full
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to acquire strong transferable skills (e.g. science communication skills developed by presenting results in group meetings and at national/international research conferences). Applicants should have or expect
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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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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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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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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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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