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and role of the community college. Demonstrated ability and commitment to teach multiple levels of on the topic of study. Master's Degree or PhD in the field or related field from an accredited
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education and economic development needs. Federally designated as a senior military college, one of the university's signature leadership programs is its 800-member Corps of Cadets on UNG's Dahlonega Campus
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university faculty. Therefore, the Instructional Professor must be able to teach a course independently and function well as a member of a teaching team in both a lecture and laboratory teaching setting
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Qualifications PhD in Anthropology 2 years teaching experience at the community college level Experience working with Canvas Knowledge, Skills & Abilities Good written and oral communication skills Computer (word
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Department of Biology at Syracuse University is seeking applications for a non-tenure-track Assistant Teaching Professor to teach Biotechnology undergraduate and graduate level classes in our
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at the University of California, San Francisco, is seeking outstanding candidates for a full time scientist with expertise in machine learning techniques, who will work with the Breast Care Surgery team on the WISDOM
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/learning process Demonstrated curricular designing PREFERRED QUALIFICATIONS (in addition to the above minimum qualifications): Earned PhD in Biology or related field. 5+ years of full-time teaching
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. The selected candidate will teach courses in microbiology and immunology for undergraduate and graduate students. The main responsibility of the candidate will be to direct and teach lectures and the associated
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class focuses on culture and mental illness and the other on gardens and horticulture. Candidates with a PhD in Anthropology and teaching experience in these areas will be given preference. Interested
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King Abdullah University of Science and Technology (KAUST) | Saudi Arabia, | Saudi Arabia | 3 months ago
Bioinformatics (generative protein design) Methodology (machine learning, deep learning, and AI) for analysis and prediction of genotypic variation Methodology (machine learning, deep learning, and AI