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Field
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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
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thermomechanical process simulations such as casting and welding. The research activities at SDU-ME spans widely from fluid mechanics, condition monitoring, machine learning, fatigue, maritime structures
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control and optimization of electrolysis from the cell to the stack requires automated monitoring, analysis, and control of the operating parameters and processes. As part of this project, the potential
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research Investigates, identifies and recommends possible sources of research funding Participates in developing and managing grant budgets Monitors expenses Monitors and enforces laboratory safety
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monitoring of real-world behavior and physiologic patterns with a focus on aging, Alzheimer’s and Parkinson’s diseases, and medical conditions such as diabetes. Research outcomes aim to inform patients and
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imaging with the James Webb Space Telescope, variability monitoring of substellar companions, stellar obliquities, and observations of circumplanetary disks. Applicants with experience in any
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strong track record in pharmacoepidemiology, pharmacogenetics, pharmacokinetics, drug-drug interactions, therapeutic drug monitoring and exposure to environmental chemicals. Specifically