72 phd-in-computer-vision-and-machine-learning Postdoctoral positions at University of Minnesota
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%). • Contribute to data and lab management (5%) Qualifications Required Qualifications: • PhD, DO, MD or similar degree in health sciences or related field • 3+ years experience in biological sciences laboratory
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School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud. Apply for Job
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conferences (20%) Qualifications Required Qualifications: - A B.S. degree related to a biomedical field. Preferred Qualifications: - Advanced degree (PhD) in biomedical sciences or related field(s) - Experience
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Qualifications: PhD in plant science, horticulture, agronomy, or a related field Pay and Benefits Pay Range: $61,008 - $62,000; depending on education/qualifications/experience Please visit the Benefits
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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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experiments related to influenza and/or innate immunity 20% experiments related to influenza and/or innate immunity, write grants and papers 10% duties as assigned Qualifications Required Qualifications: PhD in
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required qualifications must be documented on application materials. Required Qualifications: • PhD in Immunology or a closely related biomedical field • Strong scientific knowledge and hands-on experience
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• Skilled in single-cell/population data analysis (e.g., GLMs, decoding) Preferred Qualifications • Background in machine learning or computational modeling (Bayesian methods, neural networks, etc
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the organization and coordination of research projects. Qualifications Required Qualifications: Candidates with a DVM degree or equivalent foreign degree are eligible to apply. Preferred Qualifications: A PhD degree
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to: Understand basic principles of brain functioning across development (i.e. figure out how the brain works) Learn about how neuropsychiatric and other brain-based disorders develop and progress over time