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to decommissioning and dismantling. This project will be especially relevant to students interested in the social and spatial dimensions of work, identity, place, class, family, community, risk, industrial change
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disorders to expand our understanding of genotype-phenotype correlations in these conditions. This work will improve understanding of the risks associated with genetic variants, and guide which conditions
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. The successful applicant will work with experts in diabetes, data science, and genetics, and use detailed existing studies of hundreds of thousands of people with diabetes, to understand what is causing apparent
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that HbA1c can sometimes lead to incorrect management of diabetes. To address this problem, the project will use statistical genetics to untangle these distinct biological pathways. By separating the genetic
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disorder with debilitating effects on a patient's quality of life. Because current medications do not work well, we need to study its molecular cause to develop new therapeutics. Recent research identified a
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dementia and co-occurring age-related conditions. The student will work at the intersection of dementia research, genetics, epidemiology and data science, gaining experience in the analysis of large-scale
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problem to improve the clinical pathway for individuals who are at risk of dementia due to well-established risks such as cognitive decline, lifestyle, medical or genetic factors. This project aims
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avoid foods due to sensory sensitivities, fear of choking or vomiting, or low interest in eating. Food insecurity (unreliable access to safe, nutritious food) is a growing public health problem linked
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for work, money and society. This PhD combines economics, psychology and health science to look into this topic for the first time. You will gain skills in behavioural experiments, data science and health