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Institute for Health and Care Research (NIHR), as part of the NIHR Applied Research Collaboration (ARC) North East and North Cumbria. The researcher will support the ARC in joining national research networks
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(negotiable) Group or Departmental Website: https://urbanresilience.stanford.edu/ (link is external) How to Submit Application Materials: Interested candidates should apply at https://forms.gle
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spaces. Experience using mixed method approaches (i.e. discourse analysis, network analysis, stakeholder interviews, case studies, Delphi, STS, workshops) Effective, highly motivated team player with
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IFREMER - Institut Français de Recherche pour l'Exploitation de la MER | Nantes, Pays de la Loire | France | 16 days ago
conservation criteria (ecologically significant areas, sensitive habitats, existing protection networks). Collaboration with experts and stakeholders (workshops) to validate data and define objectives
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collaboration. FTMC provides a strong scientific base, international research networks, and the flexibility for doctoral students to develop independent, high-impact research. Topic: Analysis of microplastic
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Intelligence (AI) services in Internet of Things (IoT) networks, where latency and timeliness are paramount. The successful candidate will be responsible for the end-to-end investigation of novel edge-assisted
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ecosystems. Month 1: literature review, specifications and requirements; Month 2: preparation and analysis of datasets representative of IoT/edge/cloud scenarios; Month 3: design of architectures for network
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biodiversity and ecosystem services, GIS, inter- and transdisciplinary collaboration, and quantitative knowledge synthesis (meta-analysis) are meritorious, as are skills in Swedish. About us The position is
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monitors customer satisfaction. Provides business analysis to customers by identifying business needs and determining appropriate solutions. Oversees technical support for customers in coordination with
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the combination of Time Spectral Method with Bloch analysis. Integration within the FairCFD Network Within the FairCFD network, you will contribute mainly to WP1, Efficient physics-based numerical methods, and WP2