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Field
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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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: 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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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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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
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data science, artificial intelligence, large language models, and high-performance computing. Strong written and verbal communication skills regarding research results. Preferred Qualifications
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to precisely track brain and cognitive change over short intervals. The program of research seeks to understand individual differences in aging trajectories and to develop approaches to predict and monitor