79 postdoc-computational-fluid-dynamics Postdoctoral positions at University of Minnesota
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that utilize them. Analysis work includes multiwavelength analysis of solar flare data from the Solar Dynamics Observatory, Solar Orbiter, and other missions. Job Duties: 30% Laboratory instrumentation work 30
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hypotheses of cellular function. As a postdoc in a newly established lab, you will have the chance to implement your own systems to impact research directions and shape lab culture. Benefits to working in
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diverse soil and management conditions - Excellent technical knowledge of nitrogen dynamics and loss pathways in crop production - Proficiency in GIS and remote sensing workflows, using tools like QGIS, R
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researcher for a 2-year, collaborative project funded by Minnesota’s LCCMR Program titled "Climate change and management effects on lake methane". The position will be based at the University of Minnesota
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, Center for Posted Date 05/30/2025 Job Title Assistant Professor Job ID 368525 Location Twin Cities Department OBGYN Gen Obstetrics & Gyn Posted Date 05/29/2025 Job Title Connecting Bridges PostDoc Job ID
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to computational models • Draft high-quality figures, manuscripts, and grant materials • Present findings at scientific meetings Mentoring and Instruction (5% effort) • Mentor students and foster a dynamic
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productive interpersonal relationships with a diverse and dynamic laboratory team, colleagues, and collaborators. Strong attention to detail and accuracy, meticulous record-keeping and organizational skills
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scholars specializing in dynamical systems modeling of neuronal networks for work on a BRAIN Initiative-funded R01 in collaboration with Gordon Smith at the University of Minnesota and Audrey Sederberg
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, biomedical engineering, computer science, neuroscience or similar field Experience acquiring and analyzing magnetic resonance spectra or images Track record of scientific publications Preferred: Experience in
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to their research. Ideal candidates will be expected to employ state-of-the-art computational tools to analyze phylogenetic, metagenomic and multi-omics data sets generated from different clinical trials. Applicants