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analysis You have a strong background in applied mathematics, and you’re interested in combining mathematical theory with practical algorithm development and real-life tests. Furthermore, you have
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interested in combining mathematical theory with practical algorithm development. Furthermore, you have experience with one or more of the following topics. Systems and control theory Dynamical systems and
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Job Description Funded by the Danish e-Infrastructure Cooperation - DeiC National Quantum Algorithm Academy , we have an opening for a three-year PhD position in the group of Professor Sonia Coriani
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experience in algorithm development Enthusiasm for mobile robotics Excellent German or English language skills What we offer Cutting-edge technology in mobile outdoor robotics Hands-on work with our
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quantum chemistry, machine learning, algorithm development, or chemical applications. What to expect: Develop new computational approaches for challenging molecular reactions where conventional
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pipeline. Therefore, you will investigate different types of predictions like intent prediction, reachability approaches or Bayesian filtering and develop a robust prediction algorithm. These dynamic
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algorithm design Knowledge on Time-Sensitive Networking, real-time systems/operating systems, industrial communication, cyber-physical systems…. Knowledge on the experimental validation of end-to-end
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, information and coding theory, signal processing, and quantum systems. Our research combines fundamental methods with algorithm development, with close connections to both academic and industrial
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publication and conference venues. We are seeking applications from researchers in the broad domain of computational and applied mathematics, including algorithm analysis, applied probability, combinatorial
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UTB | about 1 month ago
on algorithm development, model training, and methodological validation. Experimental validation and imaging data originate from collaborations with specialised forensic and defence partners. In