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hybrid forecast and agricultural advice based on seasonal forecast Contributing to designing adaptation strategies including Nature-Based Solutions to cope with climate change-induced salinity issues
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their language(s), how speaking and listening happen in real time, how the brain processes language, how the human genome contributes to building a language-ready brain, how multiple modalities (as in speech
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the S3ORTED project, other work-packages will focus on the technical development of an automated sorting process of discarded textiles as well as chemical recycling. But we also need to understand how we can
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design, coordination) and non-technical (e.g., streamlined governance and re-engineered processes) natures. The PRE-MADONA project offers a game-changing solution by leveraging data-driven methods
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want to contribute to the next level of molecular computing? Are you excited about the application of AI tools to train molecular systems how to process information? Then join our team as a PhD candidate
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, environmental managers, and disaster response coordinators—including the potential integration of Large Language Models (LLMs) to translate technical explanations into more accessible, natural language narratives
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-footprint), emission models (e.g. IPCC, EMEP/EEA) and tools (e.g. Simapro); experience in programming languages (e.g. Python) to develop methods, models and tools is considered a strong plus. excellent spoken
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programming, as well as proficiency with relevant software tools and programming languages. An interest in working together with people from the food industry and food banks. For this position your command
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include: Analysing large climate datasets to quantify and study mesoscale convective systems in tropical South America Use different modelling approaches to understand the processes driving extreme
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Organisation Job description We are looking for a PhD candidate in the group of Prof. A. J. Minnaard, who leads a natural product synthesis group at the Stratingh Institute for Chemistry (see