80 phd-in-computer-vision-and-machine-learning Postdoctoral positions at University of Minnesota
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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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. The candidate must have a track record of reliability and good verbal and written communication skills. This is an ideal position for a recent graduate with an PhD, MD/PhD degree in related fields, but not
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, implement, and evaluate computational models that assimilate 2-photon data (60%) Use a computer programming language to create novel neural network simulations (models) that include realistic simulations
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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
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with other faculty and collaborators, including, if required traveling to international destinations to meet with collaborators and collect data (10%). Qualifications Required Qualifications: PhD in
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Routine operational lab duties (20%) -Preparation of buffers, stock solutions, etc as needed for above tasks Qualifications Required Qualifications: PhD in biochemistry 5+ years of experience with in vitro
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on application materials. Required Qualifications: • PhD in Immunology, Cell Biology, or related biomedical sciences • In-depth scientific expertise in cell death, macrophage biology, and fibrotic disease
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) Qualifications Essential Qualifications PhD in forestry or closely related field such as land resources Preferred Qualifications Have experience with bark beetles, tree defenses, and climate data Have experience
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on application materials. Required Qualifications: • PhD in Immunology, Molecular Biology, or a closely related biomedical field • Strong foundation in cellular and molecular immunology, with demonstrated
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applications. Presenting and Instruction - 10% • Present research summary in national and international meetings in oral and poster format by preparing abstracts and slides for presentation. • Instruct students