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assessment · Develop, implement and evaluate foundation models and multimodal large Language Models for psychosis symptom measurement using multimodal mental health data. · Disseminate findings through high
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3 Year, full-time PhD studentship Eligibility: Open to home, EU and international students University fees and bench fees: This studentship will cover university fees at the HOME RATE ONLY
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programming interfaces (APIs) to send and receive data and/or experience using tools to transfer large amounts of data between remote servers Preferred PhD or 3 years of post-Master's experience preferred
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conduct observations and interviews with community jazz big bands and analyse and code the resultant data. Drawing on your specialisms and interests arising from the data, you will work collaboratively and
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of the central challenges on the path toward large-scale quantum computing. In this PhD project, you will investigate how machine learning can enable faster, more scalable QEC decoding. The goal is to develop new
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of Python and R; Knowledge of web development (Shiny or equivalent technologies); Experience processing and analysing large datasets; Experience with version-control tools (Git); Data visualisation skills
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B cell lymphomas including diffuse large B cell lymphoma and Burkitt lymphoma. They arise as a byproduct of somatic hypermutation, when the enzyme activation-induced deaminase (AID) generates DNA
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the laboratory of Professor Adil Harroud, the Research Associate will lead the statistical genetics and bioinformatics analyses of large-scale genetic, proteomic and clinical datasets in multiple sclerosis and
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internationally recognized institution with state-of-the art facilities that support strong research and clinical performance. The Department of Internal Medicine within the Yale School of Medicine is a large
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Are you a computer scientist or machine-learning researcher interested in making medical-imaging AI work reliably beyond the dataset on which it was developed? We have an exciting two-year Grade 7