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, biomathematics, financial mathematics, numerical methods, mathematical modelling, differential equations, game theory, machine learning Deadline for submitting applications: 20 February 2026 Required documents All
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discipline with related computer coursework and related IT Certifications. • PhD preferred. • A high level of digital literacy and a commitment to teaching Application Package: 1. Cover Letter - Letter of
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portal/ Apply now - button If you have any questions, please contact: Univ.-Prof. Dragoș Ciobanu, PhD Professor of Computational Terminology and Machine Translation dragos.ioan.ciobanu@univie.ac.at We look
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there is a pre-school on campus. Additional information about the Department is available at https://www.binghamton.edu/psychology/ . Requirements: Required Qualifications: PhD in Psychology
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About the Opportunity About Northeastern: Founded in 1898, Northeastern is a global research (R1) university and the recognized leader in experience-driven lifelong learning. Our world-renowned
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the greater community. To learn more about the University of Denver’s mission, vision and values, please visit: https://www.du.edu/about/mission-vision-values. The university, and department, provides a number
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Biological Science subfield or medical, Dental, or Medical Science Master’s Degree or Master’s Degree and 18 graduate credit hours in Anatomy, Physiology, Biological Science, or Medical Science subfield. PhD preferred
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Shrivenham and will undertake high-quality scholarship and support a range of professional military and security education courses at the postgraduate level. Successful candidates will teach and supervise
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multilingual AI, Translation quality evaluation using AI Teach undergraduate and postgraduate courses in Computational Thinking, Machine Learning and Natural Language Processing (NLP) for translators, LLM and
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of policy and to build students’ skills in applying knowledge to real-world circumstances. Candidates must have a PhD, J.D., or other terminal degree in their academic discipline to be able to teach a