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Previous Job Job Title Assistant/Associate Professor Plastic and Reconstructive Surgery Next Job Apply for Job Job ID 370431 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular
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property graph databases (e.g. using ArcGIS Knowledge, Neo4j or equivalent), including schema design, constraints, indexing strategies, and repeatable, validated load processes. ● Produce well-documented
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computing (HPC) and parallel processing to enable the analysis of massive datasets. Experience in advanced statistical inference (e.g., Bayesian statistics, spectral methods) for extracting robust patterns
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initiative Preferred Qualifications: Published microscopy (widefield or confocal) techniques Evidence of prior bioinformatics analysis Published HIV-1 research Literature fluency particularly viral RNA biology
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evolution, study design, data management and analysis for different projects focused on swine disease control and prevention. Therefore, an individual who has bioinformatics, molecular biology, and
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species where reference resources remain incomplete. ● Pathology and imaging integration: Develop computer vision approaches for histopathology and radiology, linking image-derived features with genomic and
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standard M-F, 9-5 work schedule, with possibility for flexible work hours upon approval of the supervisor. Qualifications Required qualifications: Bachelor's degree in a related field (bioinformatics
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., protein trafficking, protein purifications, 2-photon or confocal microscopy, HPLC analysis of retinoids, and in vivo (mouse genetics) approaches. Basic understanding of bioinformatic analysis workflows and
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bioinformatics, to coordinate multiple projects related to swine viruses and analyze experimental and field data for virus infections in pigs (porcine reproductive and respiratory syndrome virus – PRRSV – and
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Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job Position Summary: The successful candidate will utilize modern genomics and bioinformatics tools to advance pennycress