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of student projects and participation in courses related to human-computer interaction and software engineering. Your competencies Applicants should have a strong interest in human-robot interaction and the
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of these findings into future dietary intake estimates. This work will involve the use and optimization of advanced analytical tandem mass spectrometry methods, assessment of vitamin D bioaccessibility using an in
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technology in real‑world settings, how digital insights influence decision‑making, and how the technology affects human and animal experiences on dairy farms. It will also explore associations between
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using data-driven methods You do not need to be an expert in machine learning at the start of the PhD, but you should be keen to develop rigorous ML and software engineering skills alongside deep
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of microbiology, food technology, and bioengineering, contributing to innovative solutions for the nutritional challenges in plant-based diets. Throughout the project, you will collaborate with other Doctoral
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Location: Mechanical and Aerospace Systems Research Group, Faculty of Engineering, University of Nottingham Funding: UK Home fees + tax-free stipend of £24,000 p.a. for 4 years Applications
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, chemistry, materials science, energy technology, or other subjects that are considered to be directly relevant for the postgraduate education. The requirements for prior knowledge as above are also considered
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unable to load from YouTube. Accept cookie and refresh page to watch video, or click here to open video) About the position Are you motivated to take a step towards a doctorate and open up exciting career
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on the interests of the candidate, they may also be involved in our ongoing developments of a digital data infrastructure for 2D materials (see 2dhub.org), which would involve high-throughput electronic structure
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to help develop these new manners by which to promote bonds as kernels in the interpretation of chemical simulations. For this purpose, novel theory and simulation software will need to be developed