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regulatory compliance Strong computer programming skills, including Python and Git/Github Experience or interest in learning data visualization strategies and dashboard development using tools like Streamlit
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seeking a highly skilled and motivated Data Scientist II with expertise in artificial intelligence, machine learning, and advanced analytics. This role offers an exciting opportunity to contribute
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of employment. Preferred: KNOWLEDGE OF: Learn advanced waste water treatment principles, use of hand tools, computer use and safety rules. LEARN SKILLS IN: Chemistry, biology, mechanical working, and process
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Classification Title: Lecturer/Assistant Instructional Professor Classification Minimum Requirements: PhD degree in Geography, Geographic Information Science, Data or Computer Sciences, or a related
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Interaction, Educational Technology, Learning Sciences, Cognitive Science, or a closely related field. Evidence of success in promoting an environment that advances access, equity, and inclusion. Job
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grant submissions. Expected Salary: $22.00 an hour Required Qualifications: High School Diploma + 2 years of relevant experience. Preferred: Be able to evaluate large data sets with unsupervised machine
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development of secure, scalable, and reproducible machine learning (ML) pipelines and software components that support AI tool deployment in a research setting. This role requires collaboration with data
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will be expected to teach undergraduate and graduate courses within the electrical & computer engineering curricula; initiate and sustain externally sponsored research programs; recruit and supervise
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for the benefit of individual or organizational performance. Assists the Simulation Program with activities surrounding simulation/experiential learning events. Works closely with the Director of the Simulation
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will be expected to teach undergraduate and graduate courses within the electrical & computer engineering curricula; initiate and sustain externally sponsored research programs; recruit and supervise