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Field
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and in vivo experiments and generating single-cell sequencing data Analyzing recorder outputs and high-dimensional datasets to study cancer evolution Presenting and preparing results for publication
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data storage capacity to accelerate research in intensive computing and large-scale data analytics, commonly referred to as Big Data. This characteristic distinguishes the HPC center at the university
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) analyze model output from these ROMS simulations, as well as from Community Earth System Model (CESM) simulations and observational datasets; (iii) apply advanced analytical methods and theoretical
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variety of scientific principles and theories. Maintains substantial knowledge of state-of-the-art principles and theories. Develops advanced analytical models and systems and provides solutions and
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Post Doctoral Scholar Department: Arts and
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) clinical data analyses, and © usage of bioinformatics tools or pipelines. Preferred Qualifications Equipment Utilized Typical laboratory equipment for analytical chemistry and biochemistry research settings
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that support global sustainability objectives. Job Responsibilities Typical Functions: Research & Analysis: Conduct laboratory-based research on bio-based and compostable packaging materials; analyze data
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staff; and Excellent verbal, writing and analytical, organizational and attention to detail skills, computer literacy and general electronic communication skills. Proficiency in R, SQL Content area
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simulations. Knowledge of behavioral and analytic methods related to representational similarity, multidimensional scaling, reinforcement learning, and fear conditioning is a plus. Experience developing and
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data storage capacity to accelerate research in intensive computing and large-scale data analytics, commonly referred to as Big Data. This characteristic distinguishes the HPC center at the university