49 software-defined-network-phd Postdoctoral positions at Duke University in United-States
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Systems Modeling. This position focuses on leveraging and developing new equation learning methods, such as Physics-Informed Neural Networks (PINNs), Biologically Informed Neural Networks (BINNs), and
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will be expected to work both independently and as part of a team and positively contribute to a highly collaborative environment. Specific projects pertaining to this position include defining and
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evaluation methods, discrete choice experiments, systematic reviews, and meta-analysis, with high levels of proficiency in associated software (e.g., Stata, R, Ngene). Applicants should have knowledge
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independent research activities under the guidance of a faculty mentor, Shyni Varghese, PhD, in preparation for a full time academic or research career. The job includes fabrication and characterization
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a PhD or equivalent doctorate (e.g.ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency.1. A candidate may also be appointed to a postdoctoral position
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a PhD or equivalent doctorate (e.g.ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof of degree equivalency.1. A candidate may also be appointed to a postdoctoral position
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multiple affiliations. Be You. Minimum Requirements: The Postdoctoral Appointee holds a PhD or equivalent doctorate (e.g. ScD, MD, DVM). Candidates with non-US degrees may be required to provide proof
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tenure-track faculty members, 1250 undergraduate students, 1400 master’s students, and 600 PhD students. Housed within a university renowned for its programs in the liberal arts, medicine, business and law
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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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the possession and desire to distribute materials, reagents, software, copyrightable and potentially patentable discoveries derived from the Postdoctoral Appointee's research. Collegial conduct towards members