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of experimental data. Works closely with the PI in the development of analytical strategies to achieve the laboratory goals, including optimization of current algorithms used to determine transcription factor
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) from public repositories (including dbGaP). Develop and apply machine learning algorithms to associate patterns in the data with cancer progression and therapeutic responses in cancer patients
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, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint appointment with
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Algorithms. Successful candidates will hold a joint appointment with IDRIS (The Institute for Data, Research, and Innovation Science). Review of applications will begin November 1, 2025 and will continue until
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self-report data, as well as passively collected data (e.g., smartphone sensor data, location history data). Assists in the preparation of grant applications for the funding of research activities
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digital sensor or phosphor plate. Checks for past due patient visits. Aids front desk are with scheduling patient visits. FLSA Nonexempt Grade 155 Salary Details Minimum Salary 23.310 Mid Range Salary
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closely with the PI in the development of analytical strategies to achieve the laboratory goals, including optimization of current algorithms used to determine transcription factor binding dynamics
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research across diverse basic and applied science and engineering domains. Responsibilities will include: ● Design, develop, and deploy ML/DL algorithms for domain science and engineering fields ● Support
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apply machine learning algorithms to associate patterns in the data with cancer progression and therapeutic responses in cancer patients. Participate in generating data for grant reporting. Understands
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, infrastructures; algorithmic bias and fairness; artificial intelligence (AI) policy broadly or within specific professional sectors (e.g., health information systems; knowledge management systems; information