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detection, classification, and segmentation using real-world datasets. ii. Design and implement software modules to integrate the models into a working system prototype. iii. Perform data annotation. iv
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understanding and clinical interpretation from the application of MRI data. Contribute to developing new models, techniques and methods in analysis and management of brain structure or function. Participate in
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culture or animal model systems. Additional Qualifications Special Instructions Required documents: Curriculum Vitae Statement of Research for PhD work Cover Letter describing your interest in the lab and
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The role An exciting Research Fellow position is available at the Bristol Interaction Group (BIG), University of Bristol, a leader in Human-Computer Interaction (HCI) and accessibility research
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University of Surrey. You will be working on a 5-year project (funded by EPSRC) building digital twin models of a full aircraft engine, running on the UK’s supercomputing services. There will be both
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climate resilience. Working within a world-class research environment, you’ll combine your skills in plant and crop physiology, modelling, phenotyping, data science, and statistics to uncover insights
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the other members of the wider project team. To be successful in this position, you will have: PhD qualification in the relevant discipline area, such as computational/theoretical physics or chemistry, or
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and science, as well as PhD education in computer technology. The Mohns Center for Innovation and Regional Development researches innovation and offers master's education in innovation and
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experimental studies, multi-physics and data-driven modelling, explainable AI, and techno-economic analysis to advance the application of digital technologies. This approach supports the transformation
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. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory analyses for latent spaces formed from neural, genetic, and behavioral data