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to scholarly peer-reviewed publications. Opportunities exist for the selected applicant to mentor students and to develop learning opportunities (courses, workshops, etc.) for the UK earth science community. The
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experience with software radios, 5G user equipment, VPNs, Tor, or other hard- and software relevant to the described systems an networks Up-to-date software development and machine learning skills, incl. work
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with the technology and techniques already described will be welcome but not necessary. Please upload your application materials via Interfolio. Include the following items: 1) CV including a list of
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Technology Enabling Advanced Drone- Facilitated Active Support Tactics for Military and First Responder Operations.” You will be a member of the Human-Robot Collaboration Lab and Learning & Autonomous Control
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faculty in the Division of Social Science. For consideration, applicants must submit a cover letter, curriculum vitae with a full publication list, a transcript, statement of research interests and two
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systems Strong skills in data-driven analysis and modelling, simulation, control, and validation Familiar with modeling of PtX and storage technologies, model predictive control, machine learning
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analyzing urban data (traffic, energy consumption, environment). Strong skills in integrating IoT devices into complex digital systems. Advanced expertise in machine learning and artificial intelligence
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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tools, including 4D point cloud modeling and state-of-the-art machine learning and deep learning techniques (such as generative adversarial networks), with empirical fieldwork in Norwegian glacier
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proteins, functionalities and application in food products. Experience and willingness to learn Proteomics and/or flavoramics, chromatography, and spectroscopy methods, instruments, and software are required