32 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at Nature Careers in Belgium
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researchers with backgrounds in computer science, engineering, information systems, economics, management, law, and other fields, united in pursuit of sustainable technologies that positively impact society
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Sociotechnical Cybersecurity (IRiSC)Team under the supervision of Prof. Dr. Gabriele LENZINI, Chief Scientist at SnT/UL and Associate Professor at the University of Luxembourg. The main tasks will be to: Support
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%) journals and collaborating with fellow postdocs on high-quality publications Your profile PhD in Robotics, Mechatronics, Computer Science, Mechanical Engineering, Electrical Engineering, Aerospace
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) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission of teaching and
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with their personal goals and interests. Your profile Master's degree in Information Systems, Economics, Operations Research, or related fields Strong knowledge of quantitative and/or computational
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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degree in Electrical Engineering, Telecommunications Engineering, Computer Science, or a closely related field Strong background in digital signal processing and mathematics, demonstrated through academic
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/ Computer Science, Mechatronics / Mechanical or Electrical Engineering, or related fields in Engineering, Computer Engineering or Applied Mathematics Programming Skills: Programming Experience with Python, C/C++, ROS
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relevant to this area of research e.g. computer science, applied mathematics, operations research Strong expertise in exact and/or approximated methods, meta-heuristics and/or machine learning, Proven
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research e.g. computer science, applied mathematics, operations research Strong expertise in exact and/or approximated methods, meta-heuristics and/or machine learning, Solid software development skills in