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research data using rigorous statistical and signal processing techniques Present research results in publications and at meetings, in collaboration with the PI Mentor and train graduate and undergraduate
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research institutes: the Institute of Chemical Sciences, the Institute of Photonics & Quantum Sciences, the Institute of Mechanical, Process & Energy Engineering, the Institute of Sensors, Signals & Systems
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for guidance and formalities regarding the application procedure. Per default, the application system requires upload of • Cover letter – please state your reasons for applying and your relevant
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of results. Profile You have a PhD degree in physics, engineering, photonics or a related discipline. You have a good basis in optics, laser spectroscopy and signal-processing techniques. You have experience
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programs for statistical and process-based models, writing journal articles and research proposals, working collaboratively with faculty and graduate students, and mentoring graduate student research
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university of the state, and home to South Dakota’s leading programs in AI. The successful candidate will engage in cutting-edge research projects in machine learning, computer vision, and specialized areas
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survivorship for all communities within the area we serve – which includes Idaho, Montana, Nevada, Utah, and Wyoming – with impact worldwide. In your cover letter or during your interview process, we invite you
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U.S. Department of Energy (DOE) | Washington, District of Columbia | United States | about 2 months ago
or to advance professionally. Preferred Qualifications A Master's or a Doctoral degree in one of the following disciplines: Artificial Intelligence, Computer Architecture and Grids, Computer Science
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will be regarded favourably. Please indicate clearly in your application whether you are applying for Postdoc 1, Postdoc 2, or both positions. If applying for both, please state your motivation and
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point cloud data processing, deep learning for time series data prediction, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation