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Postdoctoral Researcher in Digital Youth Mental Halth, Personalised Prevention ans Self-Harm - SAMPO
will help strengthen the scientific coordination of the SAMPO project at VUB, contribute to the development and evaluation of the PRO algorithm and the SAMPO app, and lead high-quality analyses and
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of virtualizing and forecasting the evolution of the radio-electric environment. In the second phase, the candidate will investigate machine learning and AI-driven algorithms for NTN channel prediction, enabling
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. Development cycle including circuit design, simulation, modeling, layout, verification and measurements. Develop scripts and algorithms for analog IC design Prepare research papers/reports/technology
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opportunities to contribute to scientific publications, develop computational skills, and participate in interdisciplinary research. The candidate will work with Senior Research Scientist in the group. He/she
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epidemiological methods, cutting-edge artificial intelligence algorithms, and qualitative research to provide a deeper understanding, insights, and applications. About the role In this role, you will join a
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candidate has an MSc in Computer Science and is interested in theory, development, or usage of formal methods. Fluency in English is required. Hosting environment FORM is embedded in the Section of Artificial
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Objectives: Development and implementation of computer vision and active learning algorithms for sign languages, including (i) a pipeline for the ingestion and extraction of visual gesture features
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involve any development of language models. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7253-DOMLOU-016/Default.aspx Work Location(s) Number of offers available1Company
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Destination Earth Climate Change Adaptation Digital Twin Project, Phase 3 (https://destine.ecmwf.int /), where INAR is a contributing member. The Climate DT project is setting up an operational simulation
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, Applied Mathematics, or a closely related field, with a strong background in AI/ML technologies, including algorithm development, optimization, and data-driven modeling. Candidates are expected