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applicant for a Post Doc position. The candidate will work on multiple funded/unfunded research projects that aim to develop novel methods and devices to assess and improve neurological outcomes after stroke
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multiple types of high-dimensional data. Researching and implementing novel algorithms for analysis of latent factors and their dynamics. Conducting literature searches, manuscript preparation, and
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methodology development as well as applied cancer bioinformatics in a variety of disease sites, including the incorporation of statistical, machine learning & QML ideas. Multiple collaborative opportunities
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. Among the methods used are high-throughput CRISPR screening, protein deep mutational scanning, massively parallel reporter assays, and genetic manipulation of cell lines and mice. The successful candidate
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manage multiple projects and assignments with a high degree of autonomy. Supervise undergraduate and graduate students in the execution of basic science and translational studies and duties. Lead and
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university sources. Communicate clearly and effectively with our multi-disciplinary team of scientists, trainees, and clinicians. Exhibit the ability to manage multiple projects and assignments with a high
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neuroanatomical, neuroimaging, computational, and behavioral genetic approaches to understand the cellular and physiological pathways that modulate aging and multiple disease risks in mammals. The Kaczorowski Lab
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spectroscopic techniques, such as laser absorption spectroscopy (LAS) and modulated spectroscopic methods (FMS, WMS), within bench test and field test setups of the Lidar DFB seed laser and thulium amplifier
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bioinformatics/clinical and/or mutiomics data and adjust recommend approaches to experimental design and analysis. Actively review new publications and adapt emerging methods and approaches to existing projects
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multiple other departments. The U-M at Ann Arbor provides an outstanding training environment for researchers and very attractive benefits packages to its employees. Ann Arbor is one of the most educated