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Field
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works to interpret genomes and distill the immensely complex networks that form the foundation of human biology and disease, through accurate machine learning models. Current areas of interest include
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programme. To acquire, analyse, interpret and evaluate research findings/data using approaches, techniques, models and methods selected or developed for the purpose. To establish a national reputation and
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. Prepare and maintain classroom and lab (i.e., kitchen and restaurant) for applicable learning activities. Responsible for coordination and associated paperwork for 620 West and enterprise activities. Assist
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learning or large language models. Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models
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evaluate machine learning approaches for predicting clinically successful drug targets. For this work, the postdoc will have access to a large high-performance compute cluster and to AbbVie's cutting-edge
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Governance Public Health Politics Science, Technology, and Social Movements Patronage and Control of Science and Technology The Politics of Quantification and Modelling Senses and Surveillance Science
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transcriptomic data, that will be integrated with clinical metadata and whole-genome data for developing machine learning models to identify and predict patient factors driving toxicity response and sensitivity
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and machine learning to optimize treatment conditions. Contribute to the development of reproducible stress priming methods and assist in transferring knowledge to agricultural stakeholders. Required
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their doctorate at the time of appointment) to explore their science interests within an inclusive environment for active research, learning and service. NRC Herzberg will provide the experience, support and
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power engineering. In condition monitoring non-invasive data is analyzed through machine learning algorithms or by statistical methods. The aim of predictive analysis is to use non-invasive methods