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will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical
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to work on meaningful projects with direct clinical relevance. About the role In this role, you will develop and implement computer vision and deep learning algorithms to analyse CT and MRI data from
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of California, Irvine, anticipates openings for Postdoctoral Scholars in the following fields: General Neurology, Alzheimer's Disease and other Dementias, Epilepsy, Movement Disorders, Multiple Sclerosis
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researcher to join the Turing AI World-Leading Fellowship research programme led by Professor Alison Noble. This exciting and ambitious research aims to develop new AI for shared human-AI decision-making in
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations. Research
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available immediately. Postdoctoral associate to work on multiple research foci including but not limited to 1) Developing digital PCR assay to study turf pathogen epidemiology, 2) Investigating turfgrass
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range of disciplines, funded by the Leverhulme Trust to increase knowledge of how the relationship between humanity and the natural world is changing, and how we might maintain and develop a sustainable
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includes signal processing with emphasis on development and optimization of algorithms for processing single and multi-dimensional signals that are closely related to applications and applied research
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programming (e.g., Python, MATLAB). Preferred Qualifications: Experience in resilience analysis for multi-agent systems. Familiarity with communication-constrained algorithm design. Prior work on communication
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related to patterns of political violence, terrorism, counterterrorism and their effect on one another as specified in the TERGAP project; Develop (build, train, and test) algorithms to machine-code event