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Computer Science Department at Princeton University. We seek candidates with computational biology, bioinformatics, computer science, machine learning, statistics, data science, applied math and/or other
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language models Statistical learning theory and complexity analysis Automated theorem proving and formal methods Random matrix theory and its applications in modern AI systems This position can be filled
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experience with remote sensing data and its analysis, and geospatial skills Strong statistical background Excellent English writing and verbal communication skills Ability to travel periodically for reports
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The project will require coding for data analysis and statistics, as well as NGS data analysis. Experience with either of these would be advantageous but an eagerness and commitment to learn is more important
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request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be
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they would design, organize, and conduct advanced quantitative (statistical, spatial, etc.) analyses relevant to climate equity, environmental justice, and/or environmental health; translate complex data and
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to analyse datasets Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models
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accommodation, please call the university Office of Equity and Access (OEA) at (631) 632-6280 or visit OEA . In accordance with the Title II Crime Awareness and Security Act a copy of our crime statistics can
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Your profile PhD in psychology, with a focus on at least one of the below areas: Cognitive psychology Differential psychology Neuropsychology Evaluation and Assessment Methodology and Statistics Interest
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., biogeography, evolutionary ecology, genetics). An interest in methodological and statistical development is a plus. Critical thinking, autonomy, and openness are highly valued. Website for additional job details