453 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Texas at Austin
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(b) Flexible spending account options for medical and childcare expenses Robust free training access through LinkedIn Learning plus professional conference opportunities Tuition assistance Expansive
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or machine learning algorithms. Demonstrated ability with implementation and testing of data processing algorithms. Demonstrated ability using object-oriented programming languages. Demonstrated ability with
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. This role supports safe operations and maintenance of both traditional and computer-aided equipment within the Build Lab. The technician will help monitor lab usage, maintain tools and supplies, and
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dynamics, (2) statistics, machine learning, and AI, or (3) operations research and optimization. Preference will be given to candidates with knowledge of infectious disease epidemiology, strong coding skills
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studies to next steps. Experience in RNA folding problems. Preferred Qualifications Experience in computational biologist. Theoretical understanding, the ability to learn new methods and invent them when
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and test machine learning based techniques in relevant or related problem domains. Demonstrated ability to work with subject matter experts when developing analytics. Proficiency using Python
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of the position. Preferred Qualifications Bachelor's degree in Computer Science or Electrical/Computer Engineering. Minimum of three years of experience in Microsoft Office 365 administration and cloud technologies
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assigned. Required Qualifications Master's degree in Electrical, Computer Engineering, Computer Science, Math, Physics, or other related discipline. Three years of experience in software development
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or emails. The start date for this assignment is as soon as possible. It has a projected end date of January 31, 2025. Please note: Candidates will need their own laptop or desktop computer with stable
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Bachelor’s degree in engineering, computer or information science, or other applied sciences. Experience designing acoustic sensors or autonomous underwater vehicles. Candidate must have parametrically modeled