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growing across an array of common gardens in the California Sierra Nevada that are part of the Adaptive Management Experiment (https://www.adaptive-forest-management-experiment.com/ ). Relevant phenotypes
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will be working in an experimental lab, performing data collection, analysis, and modeling of behavioral and electrophysiological data. Applications are invited to apply for a statistical data analysis
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, data analysis results, and discussions of possible new approaches with team members and the Principal Investigator. Qualifications Required Qualifications: -A PhD in Biostatistics, Statistics
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will be used to ground-truth model outputs, refine risk indicators, and assess the effectiveness of adaptive forest management strategies. Your background We are looking for a person with a PhD in
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Mathematics and Statistics Regarding the research project, please contact: Professor Aila Särkkä (https://www.chalmers.se/en/persons/aila/ ) Dr. Moritz Schauer (https://www.math.chalmers.se/~smoritz/ ) We look
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Biological sciences » Biodiversity Biological sciences » Biology Chemistry » Computational chemistry Technology » Biotechnology Physics » Mathematical physics Physics » Statistical physics Physics » Biophysics
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year, plus 2 renewals) based on needs and available funding. Minimum Requirements • PhD in Mathematics, statistics, or closely related field. • A record of research excellence and clear potential
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health record (EHR) integration Community partnership–driven research Responsibilities: Conduct statistical and computational analyses using R, Python, SAS, and/or SQL Support cloud-based analytics in
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invite applications for a postdoctoral position in the group of Axel Ringh at the Division of Applied Mathematics and Statistics, Department of Mathematical Sciences, with focus on computational methods
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undergraduates. Postdocs benefit from strong interactions with experts in applied mathematics, computer science, device physics, materials science, and statistics, as well as access to world-leading supercomputing