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Field
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., M.D., D.V.M.). The applicant should have a Ph.D. in cognitive neuroscience, neuroscience, biomedical engineering, computer science, or a related field. Expertise in analyzing intracranial
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, leading and co-leading intervention, intensive longitudinal data, implementation, and technology development projects aligned with the lab's mission and contributing to mentorship of students and staff
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computational and data-science methods, including modern ML/AI workflows for pattern recognition, clustering, anomaly detection, and inference in large and noisy datasets. Exploratory work in quantum algorithms
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to device design, control, and evaluation The ideal candidate will lead their own project, and support the engineering efforts for several PhD student led projects. Qualifications MS in Mechanical Engineering
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to participate in this collaborative research programme. They will be expected to contribute research to central datasets, and will be encouraged and supported to develop high-profile publications at the cutting
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across
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from the TexNet earth observation program or assets that provide quality data. Compare different methods and tools for deformation modelling. Engage in outside funding activities and promote programs
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visiting scientists. Start date may be as early as 1 June, 2025. Responsibilities: Lead a nationally recognized research program focused on the basic biology of urban pests and advancement of modern
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Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary TBD VP Area Academic Affairs Department 00116 - School of Biological Sciences Location Campus
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, psychology, public health, computer science, and operational external partners •Support research translation through technical reports, manuscripts, presentations, and stakeholder engagement •Lead development