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Field
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movement, using state-of-the-art MRI methods alongside simultaneous physiological monitoring. The Postdoctoral Associate should possess good verbal and written communication skills in English, the ability
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to software and/or hardware development and to calibration and data quality monitoring. • Review and discuss research plans and details with other members of the research group and colleagues, and with
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experimental, modeling, and analysis tasks to evaluate the utility of laser welding models for development, transfer, and process monitoring, and control. The successful candidate will provide materials
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absorption. In particular, its estimation is essential for monitoring the vegetation's health and water status, and thus making decisions on irrigation scheduling and optimal application rates that, on one
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focus on autoimmune disorders and related conditions. The associate will independently execute studies, analyze data, and contribute to publications, while collaborating with a multidisciplinary team
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For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Position Status Full Time Working Hours (per week) Standard Hours 37.50 Daily Work Shift
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Monitoring (LTVEM) in the hospital for management and diagnosis of epilepsy. The technology is built on brain computer interfaces equipped with a Spiking Neural Network (SNN) and aims at early detection
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or academic related roles does not affect ECR status, provided no research element was part of the role. If a researcher does not hold a PhD but has research experience equivalent to a PhD holder and works in a
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at single-cell scale in microfluidics-based soil chips, in different conditions, representing those encountered in real soils. The postdoc will collaborate with other participants within the project
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from real world longitudinal data on management and health outcomes for children with mental health conditions. Methods have included deep learning, large language models (LLM), generative AI models (Gen