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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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applying interpretable AI / machine learning / deep learning / information-theoretic methods and algorithms in the context of multiscale biological networks, ranging from molecules (protein chemistry) to
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Location of Vacancy Part/Full Time Full Time Hours per Week 37.5 Work Schedule Standard working schedule: 8:30am – 5:00pm Must be willing to work a flexible schedule to meet the needs of the department. Type
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research on designing mobile energy hubs, energy systems integration, resilience analysis, and developing digital twin models and AI-enabled algorithms. You will conduct lab and field tests, analyse data
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Pay Grade/Pay Range: Minimum: $48,600 - Midpoint: $60,800 (Salaried E7) Department/Organization: 204411 - Biological Sciences Normal Work Schedule: Monday - Friday 8:00am to 5:00pm Job Summary: The
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and Machine Learning, with a focus on studying geometric structures in data and models and how to leverage such structure for the design of efficient machine learning algorithms with provable guarantees
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/Administrative Internal Number: 527358 Pay Grade/Pay Range: Minimum: $48,600 - Midpoint: $60,800 (Salaried E7) Department/Organization: 214231 - Civil Const and Env Engineering Normal Work Schedule: Monday
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preferred, and this can take various forms: working with large model simulations or large data, compiled programming languages, algorithms, etc. The position is an especially good match for candidates
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Number of Months 12 Work Schedule Work schedule is dependent on department need. Position End Date Open Date 08/06/2025 Close Date Open Until Filled Yes Special Instructions to Applicants For Applicants
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: Houston, TX Salary Range: Hiring up to $65,000 FLSA Status: Exempt Work Schedule: Monday – Friday, 8 a.m. – 5 p.m. Summary The Center for Medical Ethics & Health Policy at Baylor College of Medicine and the