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design and development of next-generation neuromorphic computing systems through algorithm–hardware co-design and computing-in-memory technologies. Your research will span the complete hardware design flow
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Australian National University | Canberra, Australian Capital Territory | Australia | about 5 hours ago
their temporal and spatial dynamics; (3) creating a multi-objective optimization algorithm that embeds the simulation model to maximize co-benefits of real-time decisions for diverse users and
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computational astrophysics research, which may include but are not limited to: algorithm and software development; application or development of computational or statistical methods; data analysis; modeling
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theoretical work with algorithm development and experimental validation. We value curiosity, independence, and the ability to collaborate across disciplines in an international research environment spanning
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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