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data and archaeological signatures (e.g., circular mounds, linear ditches, rectangular foundations, etc.) tailored for AI applications – Feature engineering and representation learning to enhance
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for creating a learning environment that facilitates students’ acquisition of knowledge and skills in a discipline and/or program. 2. Aligns course activities with student learning outcomes for the course
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gliomas. The project integrates generative AI, interpretable models, uncertainty estimation, and federated learning to improve clinical decision-making, data privacy, and personalized medicine
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Institution: Southwest Tennessee Community College Department: Engaged Teaching and Learning Campus Location: SWTCC - Multiple Campus Locations Job Summary The Instructional Technologist supports faculty in
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; college-level teaching experience is preferred, and relevant industry experience will also be considered. Faculty teach a 12 contact-hour load per semester. With small class sizes (typically 15-20 students
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acquire in the course of the PhD skills in live microscopy, experimental neurobiology, genetics and behavioural work. The student will receive mentoring and have the chance to guide the research and
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the European Union through the COMPETE 2030 Programme, of Portugal 2030, under the following conditions: Scientific Area: Machine Learning Admission requirements: Candidates who cumulatively meet the following two
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Adjunct Lecturer, Finance (FNCE101 - Finance) - (2600008Z) Description Lee Kong Chian School of Business invites applications for adjunct instructors to teach finance course: Finance. Ideal
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(at the rank of Assistant or Associate Professor) for the undergraduate program. This faculty will teach Undergraduate Students primarily and depending on expertise, may teach courses across the two
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seek an outstanding individual who will establish an innovative research program and teach both undergraduate and graduate students. The successful candidate will benefit from state-of-the-art research