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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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algorithms, and guide the discovery of entirely new algorithms. Many of today’s most pressing challenges involve complex optimization problems—often NP-hard and extremely difficult to solve at scale
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-specific networks driving the cellular responses. Given the complexity and dynamic state of signaling networks, the current understanding of their constituents and how they are spatiotemporally regulated in
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of the selected candidate, budget availability, and internal equity. Pay Range: $73,800-$80,000 The LEarning VAriability NeTwork Exchange (LEVANTE) project seeks a Postdoctoral Scholar to study psychometrics and
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and other machine learning models (especially neural network models, time-series models) and coding in python and R. Strong collaborative skills and ability to work well in a complex, multidisciplinary