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Duke University, Nicholas School of the Environment - Durham Program ID: Duke -NSOE-Durham -POSTDOC_MEYER [#28186] Program Title: Postdoctoral Associate - Integrated Toxicology & Environmental
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opportunity to develop innovative statistical methods in clinical trial design and variable selection methods in high dimensional data that will predict clinical outcomes and meta-analyses. The successful
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, Brown University, and Eli Lilly & Company. Under the guidance of the PIs, co-investigators, and collaborators, the Postdoc Associate will be responsible for developing new statistical methods to empower
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large datasets of dynamic complexes imaged by modern high-throughput workflows for in-situ cellular tomography. Development will be carried out within our open-source web-based platform, nextPYP (Liu et
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the Interpretable Machine Learning Lab (https://users.cs.duke.edu/~cynthia/home.html ) for a scientific developer to work in collaboration with other researchers on machine learning tools that help humans make better
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the individual's research skills for his/her primary benefit. This multidisciplinary program is focused on developing the next generation of researchers in the field of aging, and competitive candidates will
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. The Postdoctoral Associate will apply his/her technical skills toward development and implementation of machine learning, computer vision, and other algorithms for analysis of medical images and prognostication as
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Doctoral Associate Duke Department of Neurosurgery Brain Tumor Omics Program Position Overview We are looking for a dedicated Post-Doctoral Associate to join Dr. Simon Gregory's laboratory in the Brain Tumor
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-funded R01 project to develop and disseminate computational neuron models and their integration with TES and TMS electric field simulations in the popular SimNIBS software package. This project is a
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transcranial electric and magnetic stimulation (TES and TMS) on an NIH-funded R01 project to develop and disseminate computational neuron models and their integration with TES and TMS electric field simulations