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Field
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Young people exposed to adversity are at risk of a range of mental health problems including anxiety, depression and conduct-related problems, making adversity a ‘transdiagnostic’ risk factor for
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stress responses in At-Risk youth. The key aims of the studentship are:- To investigate novel ways of measuring stress reactivity in At-Risk young people (16-25) by assessing the feasibility of using the U
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Fully Funded PhD Position: Decoding Chromosome 1 Risk in AMD Using Stem Cell–Derived Retinal Models Host: Newcastle University (UNEW), UK Consortium: MSCA Innovative Training Network Pandora Start date
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project, we will measure the human mesoscale cerebellar morphology in postmortem brain tissue to provide a ground truth for the independent in-vivo experiments. This project will give you the chance to work
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15th October 2026 Languages English English English The Department of Information Security and Communication Technology has a vacancy for a PhD Candidate in Cyber Risk Management in Maritime
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | about 21 hours ago
for: Analysis of phenotypic, microscopic, PET/MRI, MALDI-MSI, and LC-MS/MS data Development of AI-based models for personalized risk assessment Validation and application of model performance using established
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acquire in the course of the PhD skills in live microscopy, experimental neurobiology, genetics and behavioural work. The student will receive mentoring and have the chance to guide the research and
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, this has the potential to detect diseases earlier, giving the best chance of improving patient outcomes reduce the burden placed on radiologists and democratize diagnostic expertise to more healthcare
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, using qualitative research, consensus methods and quantitative validation in an international cohort. Risk and resilience: identifying factors associated with parental distress, coping and resilience
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flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood scenarios that lie beyond the range of historical