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Field
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that translate evidence-based interventions for preventing suicide and violence in communities, functional magnetic resonance imaging (fMRI) studies, firearm injury prevention through technology and engineering
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, developing and applying AI technology to large medical images and genetic data for understanding brain development and aging, and precision psychiatry. In the past years, the laboratory has conducted various
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In this role you will support the delivery of two exciting, EPSRC-funded research programmes at the University of Nottingham, working across AI, human-computer interaction, and creative technology
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widefield or scanning-probe diamond microscopy of novel materials and devices. • Team leadership and collaboration: Work closely with PhD students, research engineers, and undergraduates, and help lead
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of research, technology and industry, you will lead the development of innovative approaches using multi-sensor lidar, imaging analytics and geospatial data to improve forest inventory, monitoring and decision
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. Supporting and mentoring graduate students where appropriate. About you You will have: PhD in mathematics, physics, data science, engineering, systems biology or a related field, or be in the final stages
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PhD, or equivalent doctoral degree completed by the time of appointment, in neuroscience, genetics or genomics, bioinformatics, biomedical engineering, computational biology, psychology, epidemiology
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, documentation, and presentations on project progress Support and mentor student research projects where applicable Requirements: PhD in a relevant field such as Engineering, Computer Science, or related
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a new computational paradigm that combines the versatility of the digital computer with the efficiency of close-to-physics computing. The group targets the full computational stack, from materials
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her team with the NHMRC funded Synergy grant. The Synergy Grant aims "to carry out world-leading cross-disciplinary research integrating health literacy with health AI technology development and