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research group develops statistical and machine-learning tools for high-dimensional and spatial data, with a particular emphasis on applications in plant microbiology and microbial ecology. The group
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, and experience in the algorithms used to analyze these datasets. The appointee will ultimately create an independent research effort with dedicated extramural funding that complements existing strengths
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of machine learning to clinical data, specifically aiming to study the safe, equitable development of AI for the clinic. This position will be focused on translational applications and study of the integration
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commitment to innovation in developing new concepts, technologies, and methodologies relevant to immune-mediated disorders such as rheumatoid arthritis, lupus, vasculitis, and spondyloarthropathies. The role
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. Globus develops and provides critical services that support scientific research for governmental, academic, and commercial organizations in a wide range of disciplines including life sciences, physics, and
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collaborative efforts with other laboratories within University of Chicago and externally. It is also anticipated that the appointee will conduct research experiments broadly focused on developing and
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skills developed through 2-5 years of work experience in a related job discipline. Certifications: --- Preferred Qualifications Education: Bachelor's degree in science. Experience: Experience in animal
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-Oncology by leading projects aimed at developing therapeutic strategies that enhance innate immunity against cancers that are refractory to immunotherapy. The appointees will be expected to build internal
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include knowledge and skills developed through < 2 years of work experience in a related job discipline. Certifications: --- Preferred Qualifications Education: Bachelor’s degree. Application Documents
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typically required to have a four-year degree). Work Experience: Minimum requirements include knowledge and skills developed through < 2 years of work experience in a related job discipline. Certifications