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systems (industry, medicine, environment) held by PDEs and/or data-driven, computational fluid dynamics for optimisation and control, data science, automatic learning and uncertainty quantification, offline
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College of Sexual and Reproductive Healthcare (CSRH); | London, England | United Kingdom | 1 day ago
the life course for all. You can find out more at www.cosrh.org Can you help us? The Head of Professional Learning & Development is responsible for leading the strategic design, development and continuous
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candidates to teach at the introductory, intermediate, and advanced levels, in both classroom and laboratory settings. We are seeking candidates who can demonstrate their experience in teaching or working with
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to teach courses on Public Speaking, Business and Professional Speaking, Visual Communication, Communication Ethics, Media History, and select other courses related to Communication Studies and Media and
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dates are in the fall, spring, and summer semesters. Part-Time Lecturer will teach undergraduate or graduate courses in Physics, participate in departmental meetings, administer exams to students, and
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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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Number: 7074898 Part Time Lecturer - School of Business About the Opportunity Responsibilities: Part-time lecturers will teach selected courses in the following fields for both day undergraduate and
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/Planning Internal Number: 7075289 Part Time Lecturer - Architecture About the Opportunity The Lecturer will teach introductory courses in architectural drawing, sketching, studio design, computer modeling
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- Part-time Position Type: Faculty Contract Length (Full-Time Faculty Only): Not Applicable Hiring Range: Pay based upon level of education. Rates are available at https://www.cotc.edu/teaching-and
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systems (industry, medicine, environment) held by PDEs and/or data-driven, computational fluid dynamics for optimisation and control, data science, automatic learning and uncertainty quantification, offline