586 systems-science-"https:"-"https:"-"https:"-"https:"-"BioData" PhD positions in United Kingdom
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to older adults, with some studies showing non-financial challenges to be the greater issue. Better understanding of food provisioning among older people is a crucial priority area for the project partner
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. How to Apply: All applications should be made online . Under programme name, select Electronic, Systems and Electrical Engineering. Please quote the advertised reference number: FP-SA26-CP in your
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conceptualised? The PhD experience The PhD will be based at Queen Mary University of London, working within the Department of Sociology, Politics and International Relations (SPIR). SPIR is one of the UK’s leading
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an efficient and mature technology, yet it requires high temperatures and has a large carbon footprint. This PhD project addresses a key challenge: efficiently producing bio-methanol from abundant
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degree/ background in Business Analytics/Data Science with some experience of dealing with Natural Language Processing (NLP) and Machine Learning (ML). It is not necessary for the candidate to have prior
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AI techniques for damage analysis in advanced composite materials due to high velocity impacts - PhD
intelligence, particularly in computer vision and deep learning, offer an opportunity to automate and enhance damage assessment by learning patterns from multimodal data. This research seeks to bridge the gap
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, and family life. If untreated, these disorders often persist into adulthood, increasing the risk of recurrent mental health problems. Therefore, early intervention is essential to reduce both immediate
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about stigmatisation and social exclusion. The PhD student will focus on the governmentality of genetic counselling with a primary focus on Germany. The German case is embedded within a broader European
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How do we build grid batteries that are cheap, safe and made from abundant materials? Zinc-ion batteries (ZIBs) are a promising answer – zinc is low-cost, non-toxic and works in water-based
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Deadline: All year round UK only This 3.5-year PhD project is fully funded and home students, and EU students with settled status, are eligible to apply. The successful candidate will receive