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Cantini, works at the interface of machine learning and biology (tools developed by the team: https://github.com/cantinilab ). The team is composed of 9 people : 4PhD students, 3 post doc, 1 research
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Systems to ensure optimal performance. • Attends seminars and courses to remain current on state-of-the-art instructional technologies. • Makes recommendations for tools, equipment, office supplies, etc
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through SCORM or xAPI standards. Familiar with instructional technology AV and recording equipment as well as multimedia editing tools. Strong project management and collaboration skills. Conceptual
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software tools The development and validation of machine learning and artificial intelligence models focused on representing the structural response Physical experimental testing for structural and
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of work performed using computerized systems Operate tools, equipment, and vehicles such as lifts, forklifts, and maintenance equipment (as certified) Provide guidance and instruction to unskilled or semi
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sanitation supplies such as paper products, soap, and sanitizer. This role operates and maintains custodial equipment including vacuums, floor machines, and other cleaning tools to ensure efficient and safe
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. The candidate will lead computational analyses of these datasets, using the laboratory’s suite of existing AI/ML tools to assign structures to unidentified peaks in metabolomic datasets (e.g., https
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growth methodology based on real-time growth monitoring enabled by advanced in situ characterization tools (RHEED, ellipsometry, curvature measurements, flux monitoring), coupled with machine-learning (ML
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, and Urbana. UI Health is dedicated to the pursuit of health equity. Learn more: https://hospital.uillinois.edu/about-ui-health This position is intended to be eligible for benefits . This includes
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arrangements are not permanent, are subject to change or cancellation and contingent on the employee receiving approval in the FlexWork@RU Application System. Additional information may be found at https