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Optimisation of powder processing routes for plutonium disposition: impacts of milling and additives
· https://www.nnuf.ac.uk/hades · https://www.sheffield.ac.uk/royce-institute/case-studies/contributing-towards-nuclear-waste-management Expectations and Rewards: During your PhD you will be expected
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various branch offices) is available at https://www.fz-juelich.de/en/careers/phd In addition to exciting tasks and the collaborative working atmosphere at Forschungszentrum Jülich, we have a lot more to
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. DNP or PhD in Nursing preferred. Required Related Experience Minimum of 2 years of BSN prepared nursing experience within the last 5 years is required. Required License/Registration/Certification
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. DNP or PhD in Nursing preferred. Required Related Experience Minimum of 2 years of BSN prepared nursing experience within the last 5 years is required. Required License/Registration/Certification
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. The position is for a period of four years. The nominal length of the PhD programme is three years. The fourth year is distributed as 25 % each year and will consist of teaching and other duties. The objective
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on designing system software for automating processes such as intelligent data ingestion, preservation of data/metadata relationships, and distributed optimization of machine learning workflows. Collaborating
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; Distributed multi-agent sensing and cooperative positioning algorithms; Machine learning and data-driven methods for ambient awareness. Working Environment: The PhD will be conducted at the University
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exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point for courses included in
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for integrating and interpreting data generated within digitally enabled postharvest systems, including distributed and near-real-time data streams. Investigate the potential role of data-driven and artificial
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prototypes for projects in application areas including autonomous systems, robotics, cognitive and distributed sensing, and machine learning systems, among others. Successful candidates will be responsible