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development, (4) student mentorship, (5) statistical inference with astronomical data, including AI/ML tools, and/or (6) experience working in large collaborations. Brief Description of Duties: The Postdoctoral
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and M3S research ecosystem, fostering a collaborative and interdisciplinary research environment. Requirements A doctoral degree in Computer Science, Machine Learning, Statistics, Mathematics, or a
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) Environmental and Marine Sciences (14 ) Life Health and Medical Sciences (48 ) Mathematics and Statistics (11 ) Other Non-Science & Engineering (5 ) Physics (16 ) Science & Engineering-related (2
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 9 hours ago
) Engineering (27 ) Mathematics and Statistics (3 ) Physics (2 ) Social and Behavioral Sciences (6 ) Age: Must be 18 years of age ORISE GO The ORISE GO mobile app helps you stay engaged, connected and
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techniques Ability to support non-bioinformaticians and deliver training in WGS data analysis. Skills in data management, visualization, and statistical analysis. Proven ability to plan and execute complex
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experimental ideas based on mathematical models or simulations which allow to perform novel experiments. ● Other duties as assigned. Special Notes: The Research Foundation of SUNY is a private educational
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, statistical analysis and publication of trial and cohort data. The post also includes teaching, supervision, and performance of other duties. Profile We are looking for a highly motivated and enthusiastic
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, Nextflow). Strong mathematical / statistics background At HT, your discoveries contribute to a global effort to improve human health. Why Human Technopole HT offers an international and dynamic workplace
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medicine through discoveries in physics, mathematics and computational science. Please visit laufercenter.org to learn more about the Center and the Carlini lab's research. The incumbent will conduct
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related discipline. Proficiency in programming languages for data analysis (e.g., Python, R) and experience with machine learning, statistical modeling, and wearable sensor data analysis is desirable. We