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the omic studies. The desired skill set is split between dry lab (bioinformatics) and wet lab (basic science/animal models). Additionally, the individual will be required to design and perform experiments
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at Grape Genetics Research Unit (GGRU), USDA's purpose is to understand the grapevine response to environmental stressors like cold/freezing, drought, heat, and nutrient stresses. The research goal is to
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data storage and usage of high-performance computing resources provided at University of Michigan (Turbo Storage Globus, DataDen) Gene Expression Omnibus (GEO) data deposit for manuscript submission and
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a week individual and one hour a week group supervision toward licensure Maintain clinical records in compliance with State and Federal regulatory agency requirements and program policies and
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writing and communication skills. Experience with one or more of the following models: WRF-Hydro, ATS, SWMM, and/or HEC-RAS. Experience with high-performance computing and Linux command line. Message to
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high performance computing clusters · Development of reproducible analysis pipelines · Strong time management and organizational skills · Ability to work effectively as a team · Excellent written and
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: Designs and performs experiments. Will keep appropriate experimental records and documentation and analyze the results with the Principal Investigator. May develop, adapt, and implement new research
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of Engineering and Applied Sciences. The fellow will design and run human experiments, perform data analysis, and create computational models of learning and memory. A PhD is required. An ideal candidate will be
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systems. Develop, apply and refine advanced models for optical and laser system performance. Collect and analyze experimental data, draw conclusions and publish findings in high-quality peer-reviewed
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analytical methods for PFAS quantitative analysis using gas and liquid chromatography-mass spectrometry instruments, conduct research on screening and non-targeted identification of PFAS with high resolution