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Field
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experience at the time of application; (b) have a good command of both written and spoken English and Chinese, with fluency in Cantonese and Putonghua; (c) have experience in intensive longitudinal data
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designed to deliver a detailed understanding of the mechanisms of astrocyte dysfunction and its impact on neuronal networks, building on the complementary expertise of a team with a strong publication record
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 1 day ago
regression, principal component analysis, and artificial neural networks — to determine optimal modeling frameworks for high-dimensional in vitro data generated by platforms such as organ-on-a-chip systems and
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, and across Norway, and between high-level research and education within the ERCOM network of European mathematical research centres. Qualifications and personal qualities Applicants must hold a master's
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the neural basis of flexible cognition. From basic functional circuit dissection in animals to human clinical studies, we ask how network disruptions cause cognitive deficits in neuropsychiatric disorders like
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structures, molecular networks, and disease-resistance phenotypes. Artificial intelligence (AI), machine learning, and bioinformatics will connect genotypes with phenotypes and identify maize and fungal genes
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project is required to: Develop and implement advanced process and energy system models for integrated, low-carbon, and net-zero energy applications. Conduct research on energy systems integration and
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, and employees are expected to demonstrate security awareness and comply with applicable security and export control regulations and procedures. Attributes such as reliability, sound judgement, and
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and co-speech gestures during naturalistic communication, and how age-related differences in hearing, attention and cognitive control shape comprehension under uncertainty. The post-holder will
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focuses on developing cutting-edge statistical/machine learning methods for fitting complex network models to partially observed hospital infection data, leveraging patient movement data. This research will