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. The project adopts a systems-oriented and participatory approach, combining policy analysis, co-design, and stakeholder engagement to identify leverage points for accelerating the protein transition
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the liveable cities of tomorrow? Job description Human-centred AI techniques, such as Reinforcement Learning from Human Feedback (RLHF), hold great potential for supporting design methodologies in urban planning
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and to what extent is an open question. To address this, Rijkswaterstaat initiated the MONS project (https://www.rijkswaterstaat.nl/water/vaarwegenoverzicht/noordzee/onderzoeksprogramma-mons ). In
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the employment starting date; relevant research experience, studying issues of climate change, (marine) biodiversity, pollution; excellent oral and written communication skills in English; as well as French
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to your onboarding. If some of the work activities are new to you, we will look together at what you need and draw up a development plan. This position is a good fit for you if you recognise yourself in
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-invasive installation, traditional single-element designs suffer from limitations in accuracy, stability, and flexibility. As we have demonstrated in prior research, matrix ultrasonic transducers in
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collaboration with dairy industry partners and advanced analytical instrumental companies. Together, we aim to unravel the molecular principles of peptide–mineral ions interactions and work towards designing
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well as skills in project design, writing, presenting, supervising, and collaborating. As part of our team, you will contribute to an enthusiastic, collaborative and respectful environment, in which we can perform
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cost is essential for a sustainable energy and materials system. Cost reduction will come from cheaper electricity, innovation, market growth, scaling, standardisation, and supply chain development
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on practical experience. The questions it aims to answer primarily concern the development and optimization of large-scale reef restoration methods. To this end, we will actively initiate and facilitate reef