520 machine-learning "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" "UCL" positions at Pennsylvania State University
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students and facilitate learning of laboratory concepts - Prepare and provide laboratory demonstrations, mock case exercises, reagents, equipment, and supplies to students - Track, order, store, and maintain
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and effective awarding of all types of aid to maximize impact Ensure creation of learning organization through development of a competent, productive and effective departmental staff by hiring, training
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(and you’re comfortable with): Python 3.x; modern NLP/ML (PyTorch or TensorFlow, Hugging Face, scikit-learn); data/ETL tooling (pandas, spaCy, Pydantic, Airflow/Prefect). APIs/services: RESTful design
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team. A commitment to professional development, learning and being mentored. Prior experience in an academic research context/unit and familiarity with research grants is highly desired. The successful
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teaching-related tasks as assigned Requirements, qualifications, and/or competencies: Prior completion of MGMT 481 Must be available to work weekends Willingness to learn Qualtrics Schedule: January 2026
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, translational assays, and molecular techniques, and offers the opportunity to collaborate with and learn from leading experts in leukemia and sphingolipid field. Key Responsibilities: Test therapeutic efficacy in
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candidates will engage and educate K-12 youth through high-energy, hands-on science experiences at the University Park, PA campus. Applicants must possess or be willing to learn the skills needed to fulfill
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the security of the building at times during working hours Adjust heating and ventilating and shower systems as required Responsible for the operation of the laundry washer and drying machine and the recording
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independently and as part of a team; A commitment to professional development, learning, and being mentored; Minimum of 2 years experience in a professional environment; Proven experience in providing high
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partnership with the faculty instructor to implement targeted course improvements informed by experience with previous offerings and student learning data. Applicants should have demonstrated success supporting