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, macroinvertebrate collection, and stable isotope analysis. The successful candidate is expected to have extensive experience in aquatic ecology, coding in R, and an ability or willingness to learn Bayesian modeling
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, macroinvertebrate collection, and stable isotope analysis. The successful candidate is expected to have extensive experience in aquatic ecology, coding in R, and an ability or willingness to learn Bayesian modeling
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, macroinvertebrate collection, and stable isotope analysis. The successful candidate is expected to have extensive experience in aquatic ecology, coding in R, and an ability or willingness to learn Bayesian modeling
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conducts qualitative methods to code interviews with associated projects; researches topics such as the commercialization and innovation of research outcomes; maintains IRB protocol and makes amendments as
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standard (version control, unit testing, continuous integration, etc.). Experience in the development of large-scale physics simulation codes, including coupling of multiple codes, and an understanding
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(or equivalent) in public health, health services, health policy, gerontology, or social work. Proficiency with data analysis and coding language (SAS, R, STATA, SPSS, Python, etc.) ideally with experience
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. Computation analysis and coding encouraged. Minimum Qualifications MD or Ph.D. in Basic Science, Health Science, or a related field. No experience required. Preferred Qualifications Ph.D. degree in any
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stability assessment, and control design. Familiarity with CIGRE benchmark systems for power system stability testing. Industrial experience in wind power integration, grid code compliance, or energy system
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, and anomaly detection. Build simulation pipelines and, where applicable, hardware-in-the-loop or lab prototypes; manage datasets and reproducible code. Academic Writing Lead and co-author journal and
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in leading venues, maintain high-quality, reproducible code, collaborate across McGovern/BCS and external collaborators, and mentor students. Job Requirements REQUIRED: Ph.D. in neuroscience