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modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements PhD Position: Master’s degree in Robotics, Mechanical Engineering, Electrical
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voltage DC transmission and distribution components and systems; Electric propulsions systems for land, sea and air; Wide bandgap solid-state protective devices. Sustainable Infrastructure Engineering
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Research Associate in Blockchain Data Engineering”, enclosing the following: Current CV University degrees Statement of interests and ideas (ca. one page) on the topic of application and how it relates
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collaborative and will be carried out in the frame of a joint effort with partners at the Faculty of Electrical, Information and Media Engineering at the University of Wuppertal (Prof. Pfeiffer).The University
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technology. Our pre-studies have shown that full automation is possible in principle when formally verifying systems using reachability analysis. However, our pre-studies also showed that further research is
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. We envision a research paradigm shift in fluid mechanics to a physics-informed (and -informative) probabilistic learning framework, which leads to disruptive technology transformation in the aerospace
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. We envision a research paradigm shift in fluid mechanics to a physics-informed (and -informative) probabilistic learning framework, which leads to disruptive technology transformation in the aerospace
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Qualifications PhD in Computer Science, Software Engineering, FinTech Strong programming skills in Solidity and other smart contract languages Experience with blockchain platforms and development tools Proven
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in Applied Mathematics, Computational Science and Engineering (CSE), or related fields with outstanding academic performance Strong programming skills and experience in languages such as C/C++, FORTRAN
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research talent investment program in the Canada Research Training Awards Suite (CRTAS) administered by the Canadian Institutes of Health Research (CIHR), the Natural Sciences and Engineering Research