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Field
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Sciences Laboratory (SISL). Responsibilities Conduct analysis, modeling, software and algorithm development in various disciplines such as underwater acoustics, ocean propagation modeling and SONAR
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needed under the direction of the Transitional Care Coordinator. Under the direction and supervision of Transitional Care Coordinator, utilizes multiple referral platforms such as Enso care, e-fax and
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and the project's co-principal investigators (from multiple organizations) to oversee a cross-organizational research team consisting of a group of postdoctoral associates, PhD students, and several
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coordinating the development of complex scientific figures and infographics Demonstrated ability to plan, coordinate, and prioritize activities across a team or multiple teams to deliver content on time and with
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, developing novel algorithms for pattern detection, extreme event attribution, and seasonal forecasting. Lead development of innovative visualization techniques and interpretable machine learning methods (30
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understanding of world events, systems, and discrete entities Apply the scientific method across multiple disciplines to advance Image Science and Computer Vision and develop automated analytics through
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Responsibilities: Research (75%) Investigate literatures to identify existing solutions and the problem Develop and apply state-of-the-art natural language processing algorithms and models to multimodal data
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authentication modalities to develop more efficient and effective methods of generating biometric signatures of users. The newly developed modalities would rely on multiple user’s behavioral traits (e.g., typing
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, analyze, and report on quantum research and development technical issues, including facilities, equipment, and/or algorithms and theory. Appointment Information This is a temporary, full-time, benefits
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development, etc.). Proficiency in programming languages like Python and C++. Expertise in machine learning algorithms and techniques. Familiarity with AI frameworks like TensorFlow, PyTorch, or Scikit-learn