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) Laboratory. The group develops clinically grounded artificial-intelligence and data-science methods to derive scalable digital biomarkers from echocardiography, cardiac computed tomography, electrocardiography
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project. This research position will investigate models and their uncertainty for underwater acoustic propagation to better estimate the spatial and temporal properties of underwater soundscapes
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. equivalent to “Lecturer”, fixed term contract of 6 years, no tenure track option) at the Department of Cognition, Emotion, and Methods in Psychology. The successful applicant will work in close collaboration
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. The project will involve drone optimizations, computer vision, closed-loop control, multi-modal sensor fusion, machine learning, and transfer learning methods. The candidate will also work in collaboration with
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computational methods for the control, optimization, and coordination of complex dynamical systems. The work will emphasize applications to multi-agent systems, including robotics, autonomous systems, and
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project milestones and contribute to technical reports and project updates. • Prepare manuscripts, presentations, and other scientific materials describing research methods and findings. • Prepare materials
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methods for the modelling and causal analysis of mass transit systems. The research will focus in particular on the development and application of data science methods to address key challenges in capacity
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health field. Physical Requirements Repetitive motion typical of desk work (sitting/bending/typing/twisting) Prolonged exposure to computer screen time Lifting/pushing/pulling up to 25lbs Shift Monday
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. Parameterise and document your models so that others can reuse and extend them. Publish your models, datasets and methods open access, and present th em in journals and at conferences. How this position fits You
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computer science, data science, statistics, bioinformatics, electrical engineering, computer engineering, biomedical engineering, mechanical engineering, operations research, robotics, computational neuroscience