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. We seek candidates to teach American Literature, and we especially welcome those with expertise in Indigenous Studies, Environmental Studies, and/or Intermedia work. We are seeking applicants who can
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July 1, 2026. We seek candidates with a specialization in anthropological archaeology who could teach courses at the introductory level, in topical areas, and more advanced archaeological method and
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activity is aimed at developing tools based on machine learning techniques for the automatic analysis of privacy policy pages. CUP: B83C24003210001 Where to apply Website https://xup.di.uniroma1.it
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“Incarico di Ricerca”, ai sensi dell'art. 22-ter della Legge 30 dicembre 2010 n. 240. IEIIT Sede di Bologna – CUP B53C24007690006 e CUP B53C25006000005 Where to apply Website http://www.ieiit.cnr.it
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HBIGS Heidelberg Biosciences International Graduate School | Mannheim, Baden W rttemberg | Germany | 1 day ago
rotation imposes a day-night cycle, which underlines the necessity for an endogenous circadian clock to adapt organ physiology to environmental changes. While we have learned about daily changes in organ
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learning, discovery and personal growth. The University is accredited by the Southern Association of Colleges and Schools and has earned special accreditation from professional and academic associations
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materials. Assessment of student learning. Assignment of grades. Referring of students to support services where necessary. When appropriate provision of supplemental instruction and mentorship to students
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Specialist will help shape how technology – especially generative AI – transforms teaching and learning at NUS and beyond. The role blends educational insight, human-centred innovation, and strategic problem
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for the arts; and graduate each with hope, confidence, and distinction. About the Position: The Adjunct Applied Tuba Professor will teach individualized lessons, starting August 24, 2026 and will co-direct
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the research activities entrusted to the officer take place: This ANR project lies at the interface between statistical learning (mainly deep learning) and combinatorial optimization (mainly stochastic and