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studies of organic, organometallic, photoredox, radical, or homogeneous catalytic systems. Fluency with Python and modern scientific computing workflows; experience with Git, HPC clusters, SLURM, Gaussian
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multi-site time-series IEQ datasets, including clustering, regression, and statistical modelling to identify environmental predictors of mould growth preparing scientific publications, conference
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in delivering the intended residential energy cost and other household direct benefits. Data collection, processing/curation, and analysis. Development and implementation of econometric analysis (e.g
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uncover different meanings ascribed to climate change among the population at large, and multinomial regression analysis to assess their social bases. Building on the results from the previous phases, we
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Apply now Job no:501817 College / VP Area: College of Engineering Work type:Staff Location:Newark, DE Categories:Research & Laboratory, Full Time Context of Job: As a Post-Doctoral Researcher, you will support Prof. Yuping Zeng with the frontier of analog circuit design, implementation and...
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, or PowerBI). Strong background in survival analysis and regression modeling. Experience with data engineering or maintaining data pipelines (ETL processes). Experience in Global Health or working with
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research Strong quantitative skills, including experience with regression, structural equation modeling (SEM), and multilevel modeling (MLM) Experience with measurement development, factor analytic methods
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reduction, clustering, penalized regression, multiple-testing correction, pathway analysis, network analysis, or multiomics integration Experience with longitudinal cohort studies, pregnancy or birth cohorts
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-driven dynamical systems, perturbative theories in celestial mechanics, symbolic regression, inverse methodologies via differentiable simulations, efficient high-dimensional numerical quadrature and more
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completed before September 2026) in Civil Engineering, Hydrology, Actuarial Science, Econometrics, Applied Statistics or a related field; Experience with statistical modelling and regression analysis applied