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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop
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environments, spectral sensing in the visible and near-infrared (NIR) range to estimate sugar and starch content, chlorophyll levels, and plant water status, AI-based computer vision systems to monitor crop
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attention and cognitive processing. You will work in a multidisciplinary team using cutting-edge experimental methods, including eye tracking, pupillometry and behavioural paradigms, to advance our
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Postdoctoral researcher (17 months): Ethics and Epistemology of LLMs4EU: Design, Data and Deployment
epistemological implications associated with the project's activities and outcomes including data collection and fine tuning, as well as their design processes and implementation. This includes: Deployment of a
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standardized assessment are part of the application process. Applications received by e-mail will not be considered. Acquisition in response to this advertisement is not appreciated. Website for additional job
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-society dialogue and building public trust in the knowledge production process, ‘open engagement with societal actors’ is recognised internationally as a core element of Open Science (OS). However, current
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reviews. Processing and analysing data. Supporting numerical modelling and analytical research. Supporting laboratory or centrifuge testing. Preparing technical documentation, research reports and
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between collective self-constitution and constitutive recognition, through an engagement with the historical process of Belgium’s colonisation of what would become Congo Free State to the independence
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outputs for Open Science monitoring (INCVIS) Given its potential for facilitating science-society dialogue and building public trust in the knowledge production process, ‘open engagement with societal
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expertise in specialised domains where labelled data is scarce. Recent foundation models have transformed computer vision, yet their ability to acquire new expertise remains limited when training data is