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Field
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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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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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, 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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Stack Software Developer. The group aims to identify, understand, and develop therapies for rare genetic disorders. The group is primarily computational but partners with multiple international labs
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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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responsibilities Research and Development: Conduct research to develop novel algorithms and methodologies for tensor completion in multidimensional networks. This includes exploring optimization techniques, tensor
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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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the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D urban structure
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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