158 phd-neural-computation positions at Missouri University of Science and Technology
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PhD in immunology, cell biology or a related field by start of appointment. Candidates will be evaluated on: Proficiency in cellular biology and multicolor flow cytometry and previous experience with
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University Libraries Assist with updates and maintenance to support the transition to our new web page presence Provide data entry, record review and support for updating and creating faculty research profiles The anticipated hiring range for this position has been established as $16.00...
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Meets weekly with assigned students as part of the Executive Function Advising Program With each student, reviews and discusses course requirements and progress, challenges, goals, and personalized
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Extension program. This is a nine-month non-tenure track position with a particular focus on livestock market economics. The University of Missouri (MU) Office of Extension and Engagement's distinct land
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the field. Qualifications Minimum qualifications: A recent PhD in a relevant field (e.g., Public Health, Nursing, Gerontology, Health Services Research). Applicants must have completed their degree or expect
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to increase student participation, and develop and maintain a tracking, reporting, and assessment system to measure student achievement and program success. Additionally, this role will create and manage all
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Extension program. The candidate hired at the Assistant Professor rank will be eligible for the endowed scholar appointment upon successful promotion with tenure at the Associate Professor rank The University
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veterinary pathobiology. Qualifications PhD in any field of biological sciences (candidates with a DVM, PhD are encouraged to apply but not required). Candidates will be evaluated on: Strong background in
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-Endocrinology (8) Orthopaedic Surgery (8) Radiology (8) Admin Affairs Campus Fac Mgmt (7) Ophthalmology (7) Admissions (6) Biomed Informatics Biostat EPI (6) Campus Dining Services (6) Finance (6) Medicine
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Favorite Jobs Email this Job Hiring Department The Department of Engineering and Information Technology in collaboration with the Department of Electrical Engineering and Computer Science (EECS