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Field
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University focused on advancing computer vision, multimodal AI, generative AI, and embodied AI. Founded in 2018, the lab has grown into a vibrant research group with around 40 members comprising faculty
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review, and with geochronological methods used to date past earthquakes Proficiency with relevant mapping, drafting, GIS, and structure-from-motion software Good written and oral communication skills
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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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About the role We are seeking a highly motivated Research Associate/Fellow to join a multidisciplinary team developing advanced MRI and sensor data analytics methods to improve our understanding
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language models, multimodal generative AI, and related areas. Develop algorithms, architectures, and training methods for world models, LLMs, and multimodal AI systems. Design methods for prediction
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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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vaccination barriers and facilitators, develop forecasts of vaccine coverage for existing and novel vaccines (e.g. HPV, RSV, malaria), and support the design and implementation of small area estimation and