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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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field. Demonstrated expertise in genetics (Drosophila, mouse, or human) and/or sleep research in mouse models. Strong record of experimental execution, data analysis, and scientific communication. Modes
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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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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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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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of developing and mature mouse tissues using genetics, expression analysis, genomics, stem cells, histological approaches, and physiological assays. Required Qualifications* MD or PhD in Genetics, Neuroscience
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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 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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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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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