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, machine learning, and AI techniques to analyze complex datasets and uncover actionable insights. Co-author and support high-impact, interdisciplinary research publications in leading sustainability and
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appropriate statistical and computational tools. Organize, synthesize, and translate experimental findings into meaningful conclusions aligned with the lab’s research objectives. Draft high-quality manuscripts
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our lab. Potential applications of interest include artificial extracellular matrices for regenerative medicine, breadboards for localized molecular computing, and nanophotonic devices. Present
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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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that directly relate to this position. The Draelos lab, in the departments of Biomedical Engineering and Computational Medicine & Bioinformatics, is seeking candidates for a postdoctoral research fellow position
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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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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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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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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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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