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, neuroimaging, and have relevant experience. The applicant should be proficient with Sleep Profiler EEG acquisition, PET and MRI imaging processing, and statistical analysis tools. Fluency in English and teamwork
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with faculty collaborators and other graduate students in the UM SEAS community. Overall, it is expected that the postdoctoral fellow will engage in high level research and be involved in analysis and
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troubleshoot independently , the ability to conduct statistical analysis, and the ability to conduct literature reviews, synthesize data, and write manuscripts. Mission Statement Michigan Medicine improves
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animal handling experience. Desired Qualifications* Experience performing pharmacokinetic analysis of antibody or other protein therapeutics. Modes of Work Positions that are eligible for hybrid or mobile
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. Required Qualifications* Ph.D. in the area of cellular and molecular biology. Expertise in biochemical assays including EndoH digestion, analysis of lysotracker staining by flow cytometry, and quantification
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proficiency with neuroimaging analysis software (e.g., SPM, FSL, AFNI), and demonstrated expertise in AI/data science applications. Previous publications utilizing neuroimaging methodology. Interest
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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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front-end stacks (HTML/CSS/JS) Strong communication skills and the ability to work both independently and as part of a team. Strong qualitative and quantitative analysis background Experience in stakeholder
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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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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