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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description In this EngD project, you will develop an AI model that automatically
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) . You are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity/research for the traineeship About 21% of the world’s forest area is currently designated under legal protection
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combinations that support the creation of innovative and sustainable food products. Another example is using large language model (LLM) tools to automatically extract and structure fragmented information from
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that are not only accurate but also transparent and explainable. This project focuses on the automatic perception of situational interest and state epistemic curiosity, which are motivational factors
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sensors. For example, it allows the quality of the liquid to be automatically monitored and enables quick intervention when the liquid unexpectedly changes composition. You will focus on experimentation
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/COHA), Dutch (Delpher), and Spanish (RAE) data to automatically detect synonyms and measure semantic trajectories. building and maintaining an open-source pipeline for the broader language change
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together with data fusion from multi-method spectroscopy, allowing a drastic increase in the accuracy of automatic mineral and rock recognition. Further information on PANGAEA and CAVES programmes can be
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together with data fusion from multi-method spectroscopy, allowing a drastic increase in the accuracy of automatic mineral and rock recognition. Further information on PANGAEA and CAVES programmes can be
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, and future mission readiness. Candidates interested are encouraged to visit the ESA website: http://www.esa.int Field(s) of activity for the internship Topic of the internship: Data Management and AI
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become automatically involved in more technological advancements of putting virtual reality into practice. In a subset of participants, advanced MRI brain imaging will be done to investigate changes in