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commensurate with abilities and experience Type of Position Other Position Time Status Full-Time Required Education PhD in Engineering Required Related Experience see Skills / Knowledge / Abilities Required
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new insights into the phenomena observed and enrich the databases required for deep learning methods. The neural networks currently being developed at LISTIC to detect and segment areas of movement in
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engage in clinical research in a supportive learning environment. Diverse mentorship references for the PI are available upon request. The ideal candidate will have a PhD in psychology, neuroscience, or a
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for these frameworks, and use them to analyze key performance indicators such as achievable rates, coverage, and energy efficiency, as well as optimize relevant system parameters. Applicants must hold a PhD degree or
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collaborations with the group’s academic and industrial partners. • Supervise interns, PhD candidates and postdoctoral researchers, and contribute to the collective scientific life of the laboratory. • Disseminate
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modelling, and machine learning approaches to analyse large-scale datasets, including bulk and single-cell sequencing, gene expression arrays, proteomics, and metabolomics. Working closely with senior
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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scientific capacity in the region. The candidate will also lead NYUAD’s annual Southeast Asia Learning Exchange, an immersive week long program that brings regional researchers to Abu Dhabi for advanced
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surveillance and preparedness planning using multiple modeling approaches. The successful candidate will develop and implement statistical and machine-learning models, integrate multi-source ecological datasets
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community offers outstanding schools, quality entertainment, literary, musical and cultural opportunities, outdoor recreation and Big Ten sporting events. Learn more about Iowa City and the Department