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, and HVAC related pumps and cooling towers, as well as clinical, laboratory, research and food storage refrigerators, freezers, ice machines, and environmental control rooms and similar equipment
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Science at MBZUAI focuses on the rigorous statistical and probabilistic foundations of machine learning and data science. We emphasize computational methods for large-scale data and scalable inference
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modeling approaches and artificial intelligence methods, particularly machine learning, is highly desirable. Application areas for these methods include theoretical spectroscopy, the prediction of reaction
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are particularly interested in candidates who combine computational biology, data science, and machine learning/AI with deep biological insight. While wet lab activities are welcome, they are not mandatory. However
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for developing and implementing new informatics tools and resources to enhance phenotyping performance or enable deep phenotyping through terminology/ontology, natural language processing, and machine learning
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Job Description The Assistant Professor of Instruction will teach graduate-level courses with an emphasis on active, student-centered learning strategies. This position will be responsible
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not yet competitive for 5-year clinician scientist fellowships. This post is designed for applicants with a research interest in machine learning or data science approaches for patient stratification
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to advance applications of protein design. You will be working alongside internationally recognized scientists who are leaders in such disciplines as AI/machine learning (Dr. Madan Babu), NMR (Dr. Charalampos
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machines into the cellular context in space and time, how stress factors influence these processes, and how the cellular network enables their robust functioning. Research Focus 3 Microbes providing
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. Interdisciplinary collaboration is central to our culture. BCE maintains strong partnerships across Aarhus University, including with the Departments of Mechanical Engineering, Electrical and Computer Engineering