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also have opportunities for a) multi-site collaborations with scientists across the US, b) strong mentoring and growth in a fast-paced leading edge environment, and c) development of his/her own research
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academic or research career. The appointment is not part of a clinical research training program, unless research training under the supervision of a senior mentor is a primary purpose of the appointment
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to other scientific projects within the lab as well as your own. Write fellowship and/or grant applications as appropriate for the development of your career Present research findings at local and national
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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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for projects examining questions in cardiovascular disease using extremely large data sets comprised of routinely-collected clinical data · Developing and maintaining requirements for access to Truveta Data and
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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 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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-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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will develop novel statistical and machine learning methods for any of the following: multi-omics data (such as bulk and large-scale single-cell RNA sequencing data, spatial transcriptomics, bulk and
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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