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fellow, research fellow, scientific assistant and specialist candidate Preferred selection criteria Experience with risk analysis, human reliability, and risk modeling (any sector) Experience with
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development work at the Norwegian University of Science and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with risk analysis, human reliability, and risk
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of distributed computing, machine learning, image and text analysis, randomized data structures, high-performance computing, and quantum algorithms. Beyond this research, we aim to support computational thinking
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to providing academic departments, programs, and centers in the School of Arts and Sciences with reliable and trusted service, clear policies and procedures, innovative technologies, and a commitment to
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units under the supervision of licensed professional engineer. Confirm conformance with applicable codes and University Facilities Standards to provide safe, reliable, comfortable, productive, sustainable
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to ensure the safe, coordinated, and reliable operation of the campus medium-voltage distribution system. Performs complex testing, calibration, and analysis of electro-mechanical and digital relays, power
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are critical for the long-term strategic growth of our division and the university. For more information, please visit https://finance.rutgers.edu/ . Posting Summary Rutgers University seeks an Associate Data
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facilitate active scientific exchange and foster a good atmosphere, and therefore play a big role in our team. Learn more about us here: https://swa.cs.univie.ac.at/ Your future tasks: You actively participate
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image interpretation and perceptual scene understanding. The group targets both medical applications, such as the development of new and more effective methods and systems for analysis, support, and
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Post-Doctoral Associate in Sand Hazards and Opportunities for Resilience, Energy, and Sustainability
excavation and ground response (e.g., geotechnical centrifuge testing, lab-scale TBM experiments). Probabilistic and reliability-based analysis applied to underground structures. Advanced subsurface