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Field
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-disciplinary team and lead ongoing watershed-scale modeling in U.S.EPA SWMM software. The candidate will be expected to analyze large rainfall, hydrologic, and water quality data sets, calibrate and validate
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epidemiology. Experience analyzing large cohort, registry, biobank, or omics datasets. Strong programming skills in R, SAS, Stata, or Python. Familiarity with survival analysis, longitudinal data analysis
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for this position. Location: UNSW Kensington Campus About UNSW: UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community, a community doing extraordinary
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biological data. · Proficiency in R and/or Python for data analysis and visualization. · Experience working with large datasets in an HPC or cloud computing environment. · Demonstrated ability to work
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of large-scale geospatial and time-series datasets. The candidate will develop and evaluate multimodal AI models to characterize vegetation and land-surface dynamics and quantify ecosystem responses and
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computational background in statistical modeling, reproducible workflows, and large-scale data processing Experience with water quality, nutrient, sediment, watershed, or hydrologic datasets Experience developing
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of both hardware and software tools for operando characterization under electrochemical conditions, as well as the management and analysis of large experimental datasets. The successful candidate will
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Research Skills: Demonstrate experience in experimental design, data analysis, and data interpretation, alongside a proven ability to bring research projects to completion and publication Collaboration
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the goal of contributing to continue to make MSHMP a large national and relevant project in the US swine industry. We plan to select and hire one post-doc to perform needed research on infectious disease
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, interdisciplinary environment. Additional Qualifications Prior experience with one or more of: ● Health claims data, EHRs, or other large-scale health/administrative datasets. ● Environmental, climate, or air