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Field
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Academy training opportunities. This unique opportunity focusses on the interface of public health, epidemiology and genomics decision‑making, producing insights supporting the UK’s strategic Campylobacter
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Remuneration: $37,145 (tax-free RTP stipend) For scholarship procedures and conditions, please see: https://www.monash.edu/graduate-research/future-students/scholarships/scholarship-policy-and-procedures
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barriers (modelling, experimentation, and monitoring), (ii) Determination of the impacts of subsurface exploitation and usage (induced seismicity, pollutant migration, CO₂ and associated impurities leakage
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
infrastructures such as IPFS (https://ipfs.io/ ) and Matrix (https://matrix.org/ ) on which we can plug replication mechanisms for file system synchronisation. Data replication algorithms have to be reliable (i.e
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of these systems by combining detailed operational modeling with decentralized decision-making approaches. The work will focus on: • the development of generic multi-energy system models accounting for typical
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to organizational values. Your project is part of the Model-Driven Decisions Lab, a Netherlands Police - TU Delft initiative, where you will join an interdisciplinary community of four fellow PhD students who have
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ecosystem resilience (PhD 3) - the translation of scientific outputs into actionable frameworks for both operational decision-making and long-term governance (PhD 4) - the enhancement of first responder
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perspectives, to support informed design decision making. Validation and industrial relevance The developed methodologies will be validated through industrial case studies in collaboration with European
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to create knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position aiD – AI for Decisions – is one of Norway's new national AI
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for using AI to develop social engineering attempts. This project combines human subject research of learning and decision making, Human-Computer Interaction, and the advancement in AI methods