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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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scale. Besides PI’s Kraal and Wolthers, the PHOSFLUX team consists of a NIOZ-based PhD student performing experiments and analyses, and a UU-based postdoctoral researcher who focuses on modelling
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the pragmatism that is needed to move a project forward. By the time the position starts, you have obtained a PhD degree in Data Sciences, Computer Sciences, Physics, Earth Sciences, Civil Engineering, or a
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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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engineering, molecular cloning, genomics, and computational data analysis workflows. In addition you: have obtained, or are on track to obtain, a PhD with first or co-author publications/preprints in
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strategy. Your qualities We seek candidates who are motivated about eMRV research, can lead field campaigns, and are self-driven and can work independently and with a team. Applicants should hold a PhD
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interest in societal impact. You have: Must have criteria: a PhD in computer science, artificial intelligence, data science, computational social science, urban analytics, geoinformatics, or a related field
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FTE). Your qualities We are looking for you, if you have: Recently completed a PhD in sociology or a related social science, preferably on a topic linked to the research themes of the project Strong
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multidimensional feature space of visual information to support data-driven journalism. This includes experiments for accountability, transparency, inclusiveness, and misinformation. The key technology is multimodal