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and hybrid stormwater solutions. Assess resilience and co-benefits of smart, sustainable stormwater strategies. Collaborate with stakeholders and utilities in Norway to apply methods in real-world case
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A Doctoral Research Fellowship in Machine Learning for Critical Healthcare is available at the Faculty of Computer Sciences, Engineering and Economics at Østfold University College (ØUC). The research
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are generally costly to repair, methods that can precisely and rapidly locate faults or even faults under development are of great value. Localization of very critical cable sections that are close to failure
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, power, specific topologies, their control methods and suitable power semiconductors technology. The PhD candidate will work in the 300 MNOK Centre for Environment-Friendly Energy Research (FME) “Maritime
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. The successful PhD candidate will collaborate closely as part of an interdisciplinary team consisting of formulation scientists, microbiologists and computer scientists. As a PhD candidate at OsloMet, you will
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interdisciplinary center with joint efforts in theory, computer simulations and experiments, both in fundamental and in more applied directions. The center works to advance the understanding of porous media by
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complex operational environments. Focus will be given to methods that can derive useful engineering information for the continuously updated digital twins using mechanical response data and environmental
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with contactless sensor which can be integrated into existing data acquisition system enabling to monitor propulsion health as well as estimating remaining useful life (RUL). This PhD project is
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criteria Experience with large C++ code bases Experience with MLIR and/or LLVM frameworks Experience with Precision Tuning and/or other approximate computing methods Experience with one or more heterogeneity
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of the goals of WP1 in SecurEL deal with the development of Methods and indicators to monitor and predict Security of Supply including risk, vulnerability, and cybersecurity, integrating resilience as