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computational methods, proficiency in R or other applicable software packages, ability to develop scripts for R and Echoview, and statistical modeling. Interest in fisheries, fisheries acoustics, aquatic ecology
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, computing icequake source parameters, and detecting glaciohydraulic tremor. The ideal candidate will have a Ph.D. in Earth Sciences with a focus on either glaciology or seismology, demonstrated experience in
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expertise with game theory is a plus but not required. Ideally this person would have a Ph.D. in operations research, computer science, applied math or a related field. The focus of this person’s research
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within Cornell University’s Robert Frederick Smith School of Chemical and Biomolecular Engineering (CBE) and the Systems Engineering Program is seeking a highly motivated and talented individual to join
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conditional on satisfactory performance and funding. Requirements PhD in quantitative ecology, applied statistics, or a related field with strong background in statistics and model development. Experience with
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relativity starting in September 2026. The position requires a Ph.D. and experience in numerical relativity or computational physics. The position is for one year, with subsequent renewals depending
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, support staff, and students asking bold questions, undertaking cutting-edge research, and transferring ideas and technology - to advance knowledge and improve the human condition. Cornell welcomes students
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requires the following: • A PhD in engineering, operations research, or a related field. • A proven track record of independence and a strong enthusiasm for interdisciplinary research in energy systems
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across multiple ecologically relevant scales to inspire and inform the conservation of wildlife and habitats. Our highly interdisciplinary team of scientists, educators, engineers, students, and research
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across multiple ecologically relevant scales to inspire and inform the conservation of wildlife and habitats. Our highly interdisciplinary team of scientists, educators, engineers, students, and research