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research topics include mathematical modeling of microtubule dynamics in neuronal cells, analysis and simulation of RNA transport and organization in developing cells, and parameter inference and
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adaptation, dataset shift robustness) Causal inference for risk prediction and decision support Fairness and trustworthy AI in healthcare applications Multi-modal representation learning and integration
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policy, urban planning, data science, environmental science, or a related field. • Strong quantitative skills in applied economic analysis (e.g., causal inference, econometrics, spatial equilibrium
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. Occupational Summary The Department of Neurology seeks a Post-Doctoral Fellow to work in the Vascular Neurology division on clinical research at the interface of causal inference, econometrics, biostatistics
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for a Postdoctoral Scholar. The Scholar will conduct research on Bayesian spatiotemporal modeling methodology under the direction of Professor David Dunson at Duke on developing novel models motivated by
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welcome to apply. • Candidates should have a developing track record of research output • Programming proficiency in python is essential • Commitment to open research, as appropriate to the discipline
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, reproducible science are essential. Choose Duke. Join an established, well-funded laboratory with a strong track record of publications in top-tier journals. The MacAlpine lab offers opportunities to develop
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, and behavioral measures. · Collect, process, and analyze multimodal datasets, including neural, physiological, and motion-tracking signals. · Develop and refine research protocols and methodologies in
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approaches to understand the interconnections between nutrition, health, food systems, and society. Our lab has pioneered genomics techniques that objectively track dietary intake across hundreds of plant and
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. Preferred: Experience with in vitro and in vivo electrophysiology, imaging, mouse behavioral assays, and histological analysis. Computational skills are a plus. Why Join the Yang Lab? A proven track record of