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continual enhancement of service to Purdue students. What We’re Looking For: Deep knowledge of Title IV regulatory requirements and federal aid administration Experience managing large-scale compliance
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 2 hours ago
oversight for graduate programs and academic affairs for the School. The successful candidate will have a demonstrated record of leadership in higher education, deep knowledge of public health programs and
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l'institut du thorax, INSERM, CNRS, Nantes Université | Nantes, Pays de la Loire | France | about 1 month ago
using deep learning approaches. Effectively, in order to prevent cerebrovascular accidents, it is important to study the blood flow at the major bifurcations along the cerebral vascular tree (we mostly
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, and adaptability. This role requires a deep understanding of scientific methodology and familiarity with research literature to contribute original ideas. Moreover, the incumbent will exhibit journey
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the Faculty of Applied Science & Engineering at the University of Toronto invites applications for a full-time teaching stream position in the area of Artificial Intelligence and Deep Learning. The appointment
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, all candidates are invited to read carefully the NUSTPB’s Methodology for occupying didactic and research positions: https://posturivacante.upb.ro/wp-content/uploads/2024/04/Methodology-for-occupyng
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University of California, San Francisco | San Francisco, California | United States | about 9 hours ago
the collective bargaining agreement. The salary range for this position is $28.04 - $45.09 (Hourly Rate). To learn more about the benefits of working at UCSF, including total compensation, please visit: https
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multilingual or speech impairment contexts. Programming Skills Strong proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. Experience with web development (e.g., FastAPI, Flask
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atmosphere that fosters deep and impactful relationships with students and families from all walks of life over many years. P.K. Yonge is committed to creating a learning environment to support the needs
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models when faced with data drift, bias, and fairness challenges. The research will involve developing deep learning and synthetic data generation approaches and applying them to exemplar studies in