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                Previous Job Job Title Post-Doctoral Associate - Electrical and Computer Engineering Next Job Apply for Job Job ID 369523 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular 
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                to mentor and supervise undergraduate and graduate students. Salary range: $62-68k, depending on experience. Job duties/responsibilities: 50% - Preparing manuscripts to submit for publication based on data 
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                to join our cutting-edge pharmacogenomics (PGx) research team. This is a unique opportunity to work at the intersection of genomics, clinical data, and patient care, directly contributing to the advancement 
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                biology. 10%: Research and analyze literature related to research studies and present information as it relates to lab studies and make recommendations how literature findings can assist in the research 
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                computer science programs (Chemical Engineering, Civil and Environmental Engineering, Computer Science, Electrical and Computer Engineering, and Mechanical and Industrial Engineering). This two-year 
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                to nerve and end-organ stimulation in humans. Experience in acquiring, filtering, and analyzing electrophysiological recording data in humans. Experience in manuscript preparation and submission. Expertise 
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                journals in the field and present at national and international meetings. The candidate will compile the data, prepare figures and incorporate them into a manuscript(s) describing the results and 
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                of the observing program; studies to model and mitigate observational systematics; and delivery of high-level products. These efforts are intended to enable robust BAO and RSD measurements from Roman GRS data and to 
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                culture, plasmid preparation, cloning, protein purification and enzymatic assays. The position will also lead data analysis and preparation of reports for presentation, manuscript or patent applications 
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                validate signal processing algorithms and stimulation strategies using electrophysiological and behavioral data. Develop GUIs, psychophysical test protocols, and objective outcome measures (e.g., ECAP, ABR