92 parallel-computing-numerical-methods Postdoctoral positions at Cornell University in United States
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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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, graduate students, and technical staff involved in laboratory, greenhouse, field, and computational research. The Postdoctoral Associate contributes to laboratory operations through oversight of experimental
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, United States of America [map ] Subject Areas: Human Centered Design Architecture Urban Planning Computer Science Public Health Salary Range: $62,232 to $88,745 Appl Deadline: 2025/12/02 04:59 AM (posted 2025/11/05 05:00
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Postdoctoral Associate with expertise in qualitative and/or mixed methods research. Our lab is passionate about conducting research that helps transform STEM education and career training. A major focus of our
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, or a closely related field. Successful candidates will demonstrate strong training and experience in qualitative and/or quantitative research methods. This is an academic, full-time, non-tenure track
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, is seeking a Postdoctoral Associate with expertise in qualitative and/or mixed methods research. Our lab is passionate about conducting research that helps transform STEM education and career training
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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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. The postdoc will create icequake catalogs for all available data using consistent methods, compute source parameters for high quality events, and interpret results to understand physical mechanisms
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supervision and training of undergraduate students, graduate students, and technical staff involved in laboratory, greenhouse, field, and computational research. The Postdoctoral Associate contributes
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. The incumbent will join a research group led by Dr. Dena J. Clink to develop, evaluate, and apply quantitative methods for large-scale biodiversity monitoring and conservation. The research will leverage existing