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on the long term globally distributed WaRM experiment (for details see here: https://onlinelibrary.wiley.com/doi/10.1002/ece3.9396 ). The employment is fulltime for three years. The deadline
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optimization for the compute continuum, across cyber-physical systems (CPS), distributed artificial intelligence (AI), and high-performance computing (HPC), from the data center to the edge devices
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engineering; Formal methods, models, and languages; Interactive and cognitive systems; Distributed systems, parallel computing, and networks. The successful candidate will work closely with teams specializing
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simulation, including O/D modeling, multimodal network modeling, agent-based or behavioral modeling Large-scale computing, cloud-native analytics workflows, and data engineering for mobility platforms AI/ML
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Associate Professor Dr Ross Donaldson, we focus on the practical implementation of satellite-based quantum key distribution (QKD) and high-bandwidth free-space optical communications. Our team plays a central
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, encouraging creativity, diversity, empathy, and teamwork. You will have a great opportunity to build strong networks with internationally known researchers at DTU and other universities as well as industrial
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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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closely related fields · Experience and proficiency with CLM and/or other distributed hydrologic models, and a strong computational and programming background · Ability to work
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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