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Field
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addressed is: What are the synergies and trade-offs among different SMR and yield-enhancing practices at farm and landscape levels under current and future climate scenarios? By integrating literature, remote
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Ab-initio Biowaste Loop (ABEL), led by Delft University of Technology and funded by the Netherlands National Research – (NWA-ORC) programme. Work at the interface between science and policy ABEL, a
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Exploration) will further develop monitoring tools that currently have a TRL (technology readiness level) that is too low to allow for inclusion in the standard monitoring operations by Rijkswaterstaat
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this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. To apply, please send the following documents via the 'apply now' button (all documents should be submitted as a
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department We stand for life sciences and technology. High tech and human touch. Education and research that matter. New technology which leads change, innovation and progress in society. The UT is the only
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focus groups & dilemma-game workshops with lecturers, managers and support teams; Transcribe, code and thematically analyse qualitative data (NVivo); Co-create feasible, context-specific inclusion
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, computational humanities, data science, AI, or a closely related quantitative field. Must-have: You can independently and confidently analyze quantitative data and you can write reproducible code (for example, in
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of the world's languages and dialects without access to language technology. Furthermore, research on LLM alignment, which aims to ensure the safety of their use, has been almost exclusively directed toward
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engineering with excellent records in life sciences or related areas. Experience with biomolecular condensates is a plus. Decent publication record including first author publications. Good written and verbal
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; • Conduct focus groups & dilemma-game workshops with lecturers, managers and support teams; • Transcribe, code and thematically analyse qualitative data (NVivo); • Co-create feasible, context-specific