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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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of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago Booth is proud
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learning practices in higher education. Highly motivated, well-organized, detail-oriented, and resourceful individual who enjoys working closely with undergraduates. Familiarity with students and educational
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experience. Technical Skills or Knowledge: Proficiency in PC environment. Proficiency in Word, Excel, Outlook, and on-line organizational tools. Demonstrated ability to learn new technologies. Preferred
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or Knowledge: Working knowledge of MS Word and Excel. Preferred Competencies Highly organized. Warm and professional interpersonal style. Motivated to learn challenging new skills. Excellent interpersonal and
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addition, this individual will work collaboratively with other advanced practice providers, fellows, and nurses to teach and prepare patients for surgery. Responsibilities Independently sees patients in Hyde
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and extensive writing experience Prior experience in programming and working with large-scale data; expertise in machine learning is a strong plus. Ability to work in a highly collaborative and
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of the four campuses (two in Chicago, one in London, and one in Hong Kong) reflects the architectural traditions of its environs while offering a state-of-the-art learning environment. Chicago Booth is proud
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. Organizational skills. Verbal and written communication skills. Ability to work independently and as part of a team. Ability to learn new research techniques or methods. Application Documents Resume/CV (required
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model organisms in their work and are pushing into emerging model and non-model organisms that are proving uniquely valuable in particular studies. To learn more about our department, https