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Apply Now How to Apply To be considered for the position, you will need to provide all elements of the following as a single document with your application and bid: 1. A cover letter describing: a
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* The successful candidate will work on projects performing analysis of PET neuroimage data, including kinetic modeling and multimodal data synthesis. Responsibilities will include image data processing and analysis
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. The lab utilizes a range of interdisciplinary and multi-method approaches including advanced statistical modeling, laboratory-based stress paradigms, ecological momentary assessment, and biomarker analysis
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Pharmacoepidemiology and Pain/Opioid Outcomes Research. This two-year, mentored training program provides intensive, hands-on experience in real-world data analysis, causal inference, and comparative effectiveness
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breaks, performing animal behavioral testing, cell isolation, tissue preparation, cryostat sectioning, qPCR, immunohistochemistry, image acquisition, maintaining animal colonies, data acquisition/analysis
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the laboratory will also have a strong translational component including involvement in an ongoing clinical trial. The ideal candidate will possess extensive experience in molecular and cellular biology and will
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) relations. Apply research skills for literature review, writing, and publication. Evaluate and assess Life Cycle Analysis and Techno-Economic Analysis (LCA/TEA). Required Qualifications* Ph.D. or equivalent
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to occupant injuries, crash protection, and occupant accommodation. Biosciences researchers use state-of-the-art laboratory testing facilities, computer modeling, and data analysis techniques to conduct a wide
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to the approved IRB protocol, and coordinating sample collection in collaboration with Kellogg Eye Center clinical staff. Tasks include preparing tissue samples for single-nucleus RNA-seq, data analysis, primary
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be research, data analysis, drafting and publishing research articles, and other scholarly outcomes that arise from a four-year project that uses temporal embeddings of large, heterogeneous scientific