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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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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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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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to define and lead specific research objectives aligned with the funded aims. Responsibilities will include project management, coordination of data collection and analysis, manuscript preparation, and
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relationship. Prompt disclosure to the mentor regarding the possession and desire to distribute materials, reagents, software, copyrightable and potentially patentable discoveries derived from the Postdoctoral
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infrastructure, mobility, and socio-economic networks influence malaria transmission across border communities; and (iii) Collaborate with public health authorities and community partners to apply findings
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microbiomes, host transcriptomics, and metabolomics to define OAB phenotypes using samples from large human cohort studies. · Community Engagement and Advocacy: Additional efforts include promoting evidence
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, software, copyrightable and pote ntiallypatentable discoveries derivedfrom the PostdoctoralAppointee'sre search.Collegial conduct towards members of the research group and other s asdescribed in the Duke
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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