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data to learn contextual representations of microbes and communities and translate them into predictive models for successful crop microbiome engineering. Your job Plant-associated microbiomes can
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microbiome and genome data to learn contextual representations of microbes and communities and translate them into predictive models for successful crop microbiome engineering. Your job Plant-associated
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-modelling skills with an interest in societally relevant freshwater challenges. You bring: A PhD in hydrogeology, physical geography, earth sciences, civil or environmental engineering, or a closely related
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environments. You will work closely with a transdisciplinary team, including social and industrial partners. Your main responsibilities include: developing an AI-powered recommender system for healthy urban (re
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the ability to present quantitative findings clearly to academic and other audiences Ability to work independently and collaboratively within an interdisciplinary research team, and coordination skills
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; prior experience with development of measurement tools is a plus; excellent problem-solving skills and the ability to work independently as well as collaboratively; a team player capable of managing
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networks, communities of practice, or transdisciplinary/collaborative research processes; Proven ability to design, organise, and facilitate workshops, dialogues, or similar participatory formats, for both
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small-scale models via distillation from larger models, including through the use of synthetic data. This in turn raises interesting questions about the robustness of the resulting models, their ability