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: Leveraging big data and computational methods to analyze adaptation behaviors and incorporate its costs and benefits into climate impact assessments. • Adaptation of Places: Partnering with natural scientists
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lab notes. Develop methods and experimental protocols Draft manuscripts and analyze data Prepare agendas for lab meetings and other communications and presentations The above statements describe the
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. Robert Calderbank’s research group. The successful candidate will conduct numerical simulations, develop and implement computational methods to interpret complex data, and contribute to the preparation
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research proposal and budget will be developed jointly with the mentoring team following the Fellow’s arrival, allowing flexibility for the Fellow to shape the project’s direction and methods
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develop computational methods to interpret complex data. In addition to research responsibilities, the postdoctoral researcher will actively engage in group meetings, journal clubs, and departmental
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following: comfort in field settings; experience with experimental design and management; mentorship and coordination skills; familiarity with plant ecophysiology lab methods. Position details: • Start date
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in Dr. Wenpin Hou’s team to design and deploy new methods on large-scale datasets (e.g., NIH-funded and consortia resources). You will: Key Responsibilities: Lead and co-lead projects in AI
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interventions and “nudges” in collaboration with external partners (e.g., companies, nonprofits, policy organizations) • Using advanced data analysis methods to extract interpretable patterns from large, messy
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analyst with strong quantitative, modeling, and problem‑solving abilities and a proven ability to communicate complex scientific methods and results to policymakers and the public. Responsibilities include
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and research expertise in adolescent or young adult health, chronic illness, or survivorship care. Strong background in qualitative or mixed methods research. Experience with database development and