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and Machine Learning tools and algorithms to solve hydrology and water resources problems. Familiarity with high-performance computing (HPC), cloud platforms, or GPU clusters. Demonstrated ability
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multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and their dynamics. Conducting literature searches, manuscript preparation, and
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conducting interviews or focus groups with older adults or other marginalized populations Work Schedule 40 hours per week; some flexibility in when those work hours occur as long as good communication and
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). This job is situated onsite in Ann Arbor and in-person work is expected five days a week. The anticipated schedule for this position is daytime hours Monday through Friday (exact schedule to be determined
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. The anticipated schedule for this position will be daytime hours Monday through Friday (exact schedule to be determined with the supervisor). This is a full-time, one-year, term-limited position with
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position will be on-site at the University of Michigan offices in Ann Arbor, with flexible scheduling and remote opportunities made available within our overall Center policies. If relocation is required, we
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and problem-solving skills the ability to work under tight schedule to meet project deadlines the capability to work both independently and as part of a team experience with advanced social science