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Field
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Radio Frequency (RF) Systems: Extensive knowledge on network management and control Software Defined Radio (SDR): Data Analysis and Processing Programming and Software Development AI/Machine Learning (AI
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. Desirable: Proficiency in scientific programming (e.g. Python) and familiarity with data science and machine learning techniques. Experience with geochemical analytical techniques and working in a laboratory
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Human-Computer Interaction, Information Science, Computer Science, Design, or related fields - Strong record of published research in HCI, CSCW, DIS, or related venues - Demonstrated ability in
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in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote sensing, computer vision, mental health, data fusion
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and October 2025. Essential Functions Develop/implement methods using hydrological models, remote sensing, data assimilation, and machine learning techniques to simulate global river discharge Present
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for (Selection Criteria): Essential: A doctoral qualification in a relevant engineering, computing, or physical sciences discipline. Demonstrated research expertise in data analytics, machine learning, artificial
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insurance plans (Medical, Vision, Dental) Generous Retirement Plan – 10.12% annual compensation contribution, no match or vesting required Life and Disability Insurance Paid Time Off: 20 days of vacation per
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appointment and may be eligible to renew for a second year. The Postdoctoral Fellow will work with the Computer Science Department Academic Unit Head and will be expected to teach at least 1 course per semester
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focus of the position is on application and advancement of modern artificial intelligence (AI) methods in drug discovery and development. An ideal candidate will have strong background in machine learning
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insurance plans (Medical, Vision, Dental) Generous Retirement Plan – 10.12% annual compensation contribution, no match or vesting required Life and Disability Insurance Paid Time Off: 20 days of vacation per