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demonstrate experience in animal behaviour research, ideally in aquatic species, together with practical skills in video-based behavioural analysis and/or applying computer vision or machine learning methods
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: Strong experience with flow cytometry, murine experiments, ELISA, and bacterial culture methods Some experience with microbiome methods and an interest in spatial transcriptomics Demonstrated skills in
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Respiratory Viruses Division (CORVD), National Center for Immunization and Respiratory Diseases (NCIRD), CDC. You will receive training in advanced molecular methods, next-generation sequencing (NGS), viral
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aerial vehicle (UAV) imagery collection and processing, deep learning methods, and rangeland vegetation communities in Oregon and Idaho as part of an interdisciplinary team including researchers in plant
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technologies, computer vision, computational analysis, digital heritage, or related methods. Salary and benefits £44,247 to £50,379, Grade 7 on the College's London Pay Scale which includes a consolidated London
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affiliated with Columbia University. Duties and Responsibilities: Construct air pollution and meteorological data prediction models using machine-learning based methods Conduct epidemiologic analyses studying
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projects spanning data visualization, human-computer interaction, and human-centered AI. Coordinate scientific project activities, including planning, reporting, and coordination across collaborating
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will support genome-wide prediction of variant effects across pathogen populations represented in USDA-ARS culture collections. Simultaneously, protein language models and structural methods will
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strong background in relevant areas. Key Responsibilities: To independently undertake research in computer vision and machine learning. To produce research reports and/or publications as required by
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to art historical research through artificial intelligence, immersive technologies, computer vision, computational analysis, digital heritage, or related methods. Salary and benefits £44,247 to £50,379