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• Background in applied statistics • Experience collaborating with organizations outside academia (industry, government, or NGOs) Professionally, the successful candidate should demonstrate: • Ability to work
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sponsor the individual. The term of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). The appointment involves substantially full-time research or scholarship, and
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/or quantitative methods expertise. Experience with implementation science. Experience using statistical or qualitative software. Other Requirements: Full-time, one-year fellowship (renewable based
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5 of the Postdoc Policy for the length of the appointment). The appointment involves substantially full-time research or scholarship and may include teaching responsibilities. The Postdoctoral
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and supporting a collegial and inclusive team culture. For more about our laboratory, visit: https://sites.duke.edu/franzlab/ Appointment details: • Start date: October 2026 (flexible) • Duration
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5 of the Postdoc Policy for the length of the appointment). The appointment involves substantially full-time research or scholarship and may include teaching responsibilities. The Postdoctoral
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in AI for genomics (e.g., generative models, transformers, genomic language models, agentic AI) and related areas of statistics (e.g., uncertainty quantification for machine learning and AI). Apply
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apply advanced computational and statistical analysis methods to quantify neural signaling dynamics associated with motor learning. Collaborate with faculty, trainees, and research staff to advance
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sponsor the individual. The term of the appointment is limited (see Section 5 of the Postdoc Policy for length of appointment). The appointment involves substantially full-time research or scholarship, and
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: Experience with mathematical, computational, or statistical modeling Experience developing simulation models, agent-based models, network models, stochastic systems, or dynamical systems Experience with R