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structural brain networks can be used to capture additional predictive power. If the role holder desires, there may also be scope to relate brain imaging to speech and language data. About You To be successful
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the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in
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journals. They will have experience analysing spectroscopic and/or photometric data from JWST (experience with other major observatories such as HST, Keck, VLT, or ALMA, is a bonus), and strong working
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About the Role This role is for a talented clinical researcher to join a dental research team focused on innovative applications of healthcare data to improve patient care. Funded by a research
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transdisciplinary researcher to support with synthesis and dissemination of data collected from across four case study locations worldwide. The researcher will work closely team members in the other case study
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Do you want to combine high-throughput directed evolution with machine-learning analysis of deep sequencing data to engineer better antibodies? The Sormanni Lab in the Department of Chemical
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learning for cardiovascular digital twins and AI-enabled precision treatment. The postholder will develop patient-specific models that integrate multimodal clinical, physiological, imaging and sensor data
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handling research data). Evidenced flexibility and confidence to tackle a wide range of tasks, with an open, pro-active, creative, and problem-solving approach. Evidenced excellent writing, communication
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the John Templeton Foundation. Gravity from Entropy is a statistical mechanics approach that derives gravity from principles of information theory and differential geometry. The aim of the project is to
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the John Templeton Foundation. Gravity from Entropy is a statistical mechanics approach that derives gravity from principles of information theory and differential geometry. The aim of the project is to