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confidently amid uncertainty. Makes timely decisions with incomplete data. Adjusts plans dynamically. Technical Learning Understands emerging technologies rapidly. Translates technical concepts for a variety of
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Compensation program 457(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition
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from date of hire. Preferred Qualifications Aptitude and experience with: (a) predictive machine and deep learning techniques, (b) statistical analysis, (c) hands-on experience using models such as
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discovery by conducting data-driven experiments and developing machine learning models on diverse biomedical data modalities. Responsibilities Data processing across multiple biomedical domains (image, speech
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deep technical fluency in motion design and video editing, this professional brings mastery of design and motion graphics software. A proactive problem solver and self-starter, they collaborate closely
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, Computer Engineering, or other related discipline. Experience using Python to develop and implement ML and Deep Learning model architectures. Developing applications for geospatial data analysis Developing
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discipline. Experience using Python to develop and implement ML and Deep Learning model architectures. Developing applications for geospatial data analysis Developing applications for computer vision
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initiatives to align college technology services with institutional priorities, as well as create long-term plans for the college’s information technology, media services and distance learning. The most
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using artificial intelligence and machine learning. Use technical expertise to advise on procedure changes and platform functionality that support achieving CE&C’s outcome goals. Manage and maintain
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technology modernization in higher education experience, strong product and project management skills, a proven ability to foster productive cross-campus partnerships, and a deep understanding of academic