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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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(GC), Gas Chromatography-Mass Spectrometry (GC-MS), Nuclear Magnetic Resonance (NMR), 2D NMR, High-Performance Liquid Chromatography (HPLC), and metabolic profiling. Proficiency in advanced methods
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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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fields. Significant experience with R or Python are needed. Experience with data analytics of biobank data such as UK biobank and All of Us, as well as proficiency with high performance computing clusters
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position involves working in an ultrafast laser laboratory to generate XUV entangled photons and perform attosecond spectroscopy with these photons. Job responsibilities include working with ultrafast lasers
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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