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experienced laboratory personnel. Job Description Primary Duties & Responsibilities: For more information, please visit: https://sites.wustl.edu/ushikilab/ Under the direction of the PI or lab members, performs
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statistical inference, machine learning and population genetics. The expected outcomes include new computational tools for studying B cell evolution, insights into age dependent immune diversity and the
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, Applications of Deep Learning in Electromagnetics: Teaching Maxwell's equations to machines. Scitech Publishing, 2023. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR6164-DAVGON-024
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Postdoctoral position in the development of an AI-based phenotyping system for high-throughput sc...
close collaboration with a specific group (DARSA) specialized in developing and applying remote-sensing tools and innovative open-source machine-learning methods. Key responsibilities Develop effective
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information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview . Posting Summary The Genomic Instability and Cancer Genetics (GICG) Research Program at Rutgers Cancer
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at the University Police website at http://www.stonybrook.edu/police . Stony Brook University is committed to excellence in diversity and creating an inclusive learning, and working environment. All qualified
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courses in computing and related areas, with preference for candidates who can teach in one of the following areas: AI and Machine learning (courses like Applied Machine Learning, Deep Learning
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Scientist II to design, develop, and deploy data science and machine learning solutions and assist in the implementation of data engineering infrastructure for public health analytics, including the Rapid
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FieldTechnology » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications Sólida formación en Machine Learning and Deep Learning / Strong background in Machine Learning and Deep Learning Experiencia
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analysis (Excel, R, Python, Prism etc). D4 Knowledge of applying artificial intelligence and/or machine learning approaches to biological image analysis or data interpretation. Experience Essential E1