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into insight). To tackle this, the research blends ideas from knowledge graphs, stream processing, database theory, logic, edge and cloud computing, and Artificial Intelligence into a single coherent framework
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. Delivering evidence-based recommendations for industry and policymakers This particular PhD position sits in a transversal work package that provides the analytical and visual foundation for the whole project
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the development of artificial-intelligence models. Its subtle infiltrative growth pattern also creates specific challenges for diagnosis, staging and clinical management. This PhD project is part of M4GIC-ILC, a 36
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conditions:•Master's degree in Bioinformatics, Computer Science, Artificial Intelligence, Bioscience Engineering or a related field, obtained by the start date of the contract.•Applicants must be doctoral
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capture how patients actually eat in their daily lives. Recent advances in artificial intelligence (AI) and wearable sensing technologies create new opportunities for objective, continuous, and ecologically
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(particularly kitchens and altars) as well as artefacts (especially cooking vessels and storage jars) related to meat processing. Visual evidence, including ritual scenes from temples and depictions in tombs
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possible when legally required. With such a privacy-safe camera, numerous potential applications emerge, such as privacy-preserving visual sensing in healthcare settings or anonymized person detection in
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considered a strong asset. Experience with Deep Learning and Artificial Intelligence is considered a plus. Excellent proficiency in the English language is required, as well as good communication skills, both
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communication formats and sustainability visuals. Conduct consumer choice experiments, behavioural studies, and focus group discussions to evaluate the effectiveness of sustainability communication tools. Publish
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with advanced experimental methods, including flow visualization and thermography, to assess their thermal and hydraulic performance, validate the underlying models, and identify how generative design