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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
Will Gain from This PhD This PhD offers the opportunity to: Develop highly sought-after skills in knowledge engineering, semantics alignment, and collaborative innovation. Collaborate with leading
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for analyzing how landscapes evolve over time. This thesis is part of the ANR GEvoK (Geographic Entities Evolution in Knowledge Graphs) project, which aims at automatically detecting and semantically
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on promoting health, preventing chronic disease, and fostering positive relationships among Hispanic families by developing, evaluating, and disseminating evidence-based multigenerational digital lifestyle
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data-driven services. While these developments create new opportunities, they also introduce cyber risks that may affect safety, security and operational continuity. Managing these risks requires
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(e.g., taxonomy, evolution, ecology, and geology). You will receive dedicated supervision from an experienced researcher and work closely with several international experts and collaborators with whom
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on promoting health, preventing chronic disease, and fostering positive relationships among Hispanic families by developing, evaluating, and disseminating evidence-based multigenerational digital lifestyle
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Announcing 10 PhD Studentships within the Royal Holloway Social Purpose Centre for Doctoral Training
for the Everyday). We have an excellent Researcher Development programme, and wider institutional postgraduate training. We are committed to supporting a strong and growing PGR community, including PGR-Led
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Current reseach is in the areas of: Development of biomimetic structures as ultrasound contrast agents Deep tissue imaging using photoacoustic contrast agents All optical photoacoustic sensors
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development, and experimental validation in the Norwegian Cyber Range. Are you motivated to take a step towards a doctorate and open up exciting career opportunities? As a PhD research fellow with us, you will
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exercise adherence. Integration and dissemination: We will integrate these findings to develop a conceptual framework and an interactive Shiny web application that visualises mechanical, energetic