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that strengthen EHS programs and services across the university. Financial Stewardship in Times of Change: Deep understanding of the unit’s finances and the ability to manage them effectively during periods
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: machine learning or deep learning (e.g. PyTorch) scientific data pipelines or large datasets knowledge graphs or structured data systems GPU or distributed computing scientific machine learning or physics
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, all influenced by Penn’s distinctive interdisciplinary approach to scholarship and learning. As an employer Penn has been ranked nationally on many occasions with the most recent award from Forbes who
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healthcare system, comprising the largest physician network in Indiana, 16 hospitals across Indiana, and a deep academic partnership with the IU School of Medicine. Ideal Candidate Profile: An established NIH
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. Experience in high-throughput sequencing data analysis and cluster/cloud computing. Proficiency in variant calling, single-cell DNA and/or RNA analysis, and machine/deep learning (preferred but not required
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success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, achievement and persistence; (3) technology
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) a deep commitment to the college mission of fostering student success, achievement and persistence; (3) technology competencies as well as teaching/counseling skills and strategies that facilitate
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, courses will be delivered asynchronously online, through OSU’s award-winning online education (Ecampus) program, with a commitment to providing engaging, active, and equitable learning experiences
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computer vision tools (e.g., MediaPipe, OpenPose, homography estimation, optical flow). Experience with eye-tracking data collection or analysis. Familiarity with deep learning frameworks (PyTorch
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within the centre. You will be part of a network of young researchers in deep learning in the Visual Intelligence Graduate School https://www.visualintelligence.no/about/vigs Jarli & Jordan/ UiO via