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the following areas: Performing and/or analyzing functional genomics experiments Competence with Unix environment, R, Python, high performing cluster Familiarity with machine learning Have taken coursework in
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-house CFD software packages. (3) Designing and developing CFD sub-models for application to a broad range of CFD problems. (4) Using high-performance computing (HPC) to accelerate complex, large-scale
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, including epigenome-wide association studies (EWAS) and causal inference methods. Assist data analyst in performing data acquisition, storage, cleaning, and pre-processing for large-scale, longitudinal
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of mental health risk. Assist data analyst in performing data acquisition, storage, cleaning, and pre-processing for large-scale, longitudinal studies. Lead the write-up of scientific papers to disseminate
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. Extension may be possible contingent upon future funding. Previous hands-on experience with semiconductor device fabrication is required. Experience working with high resolution e-beam lithography, optical