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The successful candidate will conduct research and be part of the international research team working on the project “TruBrain: Trustworthy Distributed Brain-inspired Systems: Theoretical Basis and
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technologies; - Experience with CI/CD methodologies and technologies Minimum requirements: - Knowledge of Software Engineering; - Knowledge of Computer Networks; - Knowledge of Distributed Systems; - Proven
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are encouraged to enroll in the “Norwegian research school for Climate-informed Innovation and Decision-Making“ , offering career development courses and many networking opportunities. Work tasks Contributing
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about the Network and Distributed Systems Research Group, see: https://www.mn.uio.no/ifi/english/research/groups/nd/ Jarli & Jordan/ UiO via Unsplash Jarli & Jordan/ UiO What skills are important in
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getting Bayesian type uncertainty for parameters given data (i.e., a posterior type distribution over the parameter space) without specifying a model nor a prior. Such methods can in principle be applied
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skills for completing the project within the time frame international experience and network qualifications within the areas of creativity, innovation and commercialisation of research good teamwork
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algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML
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distribution networks Nuclear data Fission and fusion fuels Metallurgy, and materials performance and manufacture, for the nuclear sector For more information on any of the above areas, please email dalton
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materials and device design concepts. Our current research focuses on developing AlN and high–Al-content AlGaN power devices using distributed polarization doping approaches for next-generation power
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, using dynamic Bayesian networks to understand, propagate and reduce uncertainty in their assessments. The research will apply models of distributed situation awareness and ecological interface design