70 parallel-processing-bioinformatics-"Washington-University-in-St" Postdoctoral positions at University of Minnesota
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Previous Job Job Title Post-Doctoral Associate - Department of Surgery Next Job Apply for Job Job ID 373041 Location Twin Cities Job Family Academic Full/Part Time Full-Time Regular/Temporary
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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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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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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
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duties essential to routine laboratory operation, and to take a lead role in writing manuscripts and grant proposals related to the research goals. There is a potential for this appointment to be renewed
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. Experience working with mice, handling primary and continuous cell culture, multicolor FACS staining and analysis is highly desirable. Working knowledge of bioinformatic analysis of omics data is desired but
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experiments, including operation and optimization of laboratory- and pilot-scale fermentors/bioreactors. Apply plant tissue culture techniques and other biotechnological approaches to support sustainable
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for autonomous vehicle control and teleoperation applications. Expertise in the areas of vehicle dynamics, vehicle control, localization, computer vision, sensor fusion and estimation algorithms is desired
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and processing • Data collection, including in vivo behavioral experiments • Data analysis • Data interpretation • Data presentation, including the creation of figures and writing manuscripts. This may