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Field
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play a key role in the integration and analysis of omics data collected within the groundbreaking TREAT EARLIER trial. This trial is the first preventive study in the field of rheumatology globally and
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applications involving image analysis, real-time monitoring, or complex process optimization. You have hands-on experience with model optimization techniques such as post-training quantization (PTQ
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(GenIR), a new and rapidly evolving retrieval paradigm where generative models are used to directly generate document identifiers given a user query. This paradigm departs from traditional multi-stage
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psycholinguistics, brain-computer interfaces, robotics, cognitive modeling of language, computational linguistics, educational technologies, computational modeling of evolutionary and adaptive systems, image and
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scientific social research, and multicriteria analysis, the postdoc will collaborate with partners to identify operational needs and elaborate the prototype of the audit tool. Your duties and responsibilities
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generate document identifiers given a user query. This paradigm departs from traditional multi-stage retrieval pipelines and instead integrates the indexing and retrieval process into a single, end-to-end
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and document analysis. Explore what data are available on essential health resources and supporting systems, and assess their usefulness. Co-create a regional risk picture by facilitating workshops
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in Data Science, Artificial Intelligence, Computer Science, Cognitive Science, or any another relevant discipline. Have interest and experience with deep learning and image analysis. Have interest and
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assess their usefulness. Co-create a regional risk picture by facilitating workshops to prioritise event–disruption–risk combinations with compounding impacts on care (e.g., precipitation extremes
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Observation Programmes and in particular with the Copernicus Hyperspectral Imaging Mission for the Environment (CHIME) project and Mission Science team. You will be part of the ESA Φ-lab. Our mission is to