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studies. Strong statistical skills in causal inference and the ability to manage various sources of bias are essential. The ideal candidate will also have experience in both aging and environmental
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large cohort studies. Strong statistical skills in causal inference and the ability to manage various sources of bias are essential. The ideal candidate will also have experience in both aging and
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including program evaluation; a demonstrated collaborative approach; training in basic statistical analysis; and experience with fiscal stewardship and supervision of faculty and staff.? Academic department
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, statistics, bioinformatics, data science, agricultural engineering, environmental modeling, or a related field with a strong computational and/or quantitative component by the time of appointment Strong data
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[map ] Subject Areas: Computational Physics, Kinetic Equations, Statistical Physics, Mathematics, Physics Appl Deadline: 2025/12/15 11:59PM (posted 2025/11/10, updated 2025/11/03, listed until 2026/05
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that includes substantial experience conducting statistical/econometric analysis and quasi-experimental design using panel data in STATA Writing, editing, and guiding the development of clear and concise
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communication with collaborators, setting up travel logistics, develop meeting materials, and handling other project related aspects as they arise. Responsible for conducting statistical analysis, preparing and
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well with others. The applicant must have a demonstrated record of publishing high quality research and have experience with statistical analysis of data. Desired Qualifications Experience/training in
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datasets. Conducting extensive independent statistical and spatial analyses to support research objectives. Drafting grant proposals and contributing to the development of new research proposals
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Ph.D. in physics, mathematics, computer science, or a related field prior to the start date. A strong background in theoretical or statistical physics and programming skills are required. Required