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Experience: The preferred qualification is a PhD in Mathematics, Statistics or a closely related field. The Department of Mathematical Sciences The University of Texas at Dallas is a rapidly growing university
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University of Toronto | Downtown Toronto University of Toronto Harbord, Ontario | Canada | about 2 months ago
Date Posted: 07/03/2026 Req ID: 49174 Faculty/Division: Centre for Teaching and Learning Department: UTSC:Ctr-Teaching & Learning Campus: University of Toronto Scarborough (UTSC) Description: Nature
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packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
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researchers, and/or lab staff in laboratory methods, procedures, and safety. Experience and proficiency in R or Python. Previous experience with applications of computer vision, machine learning/AI, and/or high
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service, genetic information, sex, sexual preference, or pregnancy. Questions or concerns about the application of Title IX, which prohibits discrimination on the basis of sex, may be sent
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degrees with other disciplines. Our research and teaching staff are world leading and world building as they advance knowledge and learning. For more information on our school, please visit: https
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science. Our research spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with
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in English (reading, writing, speaking). • Show ability to work independently as well as in a team. • Good knowledge in AI, machine learning, data science and mathematics. • Good knowledge in one
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, maintaining records and documentation, and assisting with fiscal and administrative processes How to Apply: Interested candidates may apply online at https://jobs.coastal.edu/postings/122303 . Applicants must
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its 2026-2028 cohort. Context: Civic Science Fellows Program The national Civic Science Fellows program (https://civicsciencefellows.org/ ) brings together an interdisciplinary network of journalists