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part of our team, you will leverage state-of-the-art single-cell, spatial and organoid technologies in a collaborative and interdisciplinary environment. Research focus We welcome candidates with a
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Wageningen University & Research offers excellent terms of employment . A few highlights from our Collective Labour Agreement include: sabbatical leave, study leave, and partially paid parental leave; working hours that can be discussed and arranged so that they allow for the best possible...
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thinking and engineering challenges? Are you passionate about reducing the ecological, biodiversity, and climate impacts of commercial flatfish trawling? Do you enjoy synthesizing research insights
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Your job Are you excited by out-of-the-box thinking and engineering challenges? Are you passionate about reducing the ecological, biodiversity, and climate impacts of commercial flatfish trawling
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storage potential and future carbon removal and carbon farming policy scenarios. It integrates process-based knowledge with machine learning and especially aims to spatially quantify uncertainties. You will
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. You have a background in machine learning for spatial data (e.g., random forest, neural networks) or are open acquiring these skills. You have experience with handling large geospatial datasets and
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storage potential and future carbon removal and carbon farming policy scenarios. It integrates process-based knowledge with machine learning and especially aims to spatially quantify uncertainties. You will
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The Faculty of Spatial Sciences is looking to appoint a postdoctoral researcher on the topic of regional innovation systems. The main responsibility will be to initiate and perform research
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to predict precipitation fields over the Greenland Ice Sheet and the Himalaya in one combined project. For the Greenland Ice Sheet, the focus is on the spatial precipitation distribution on monthly and yearly
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. You have a background in machine learning for spatial data (e.g., random forest, neural networks) or are open acquiring these skills. You have experience with handling large geospatial datasets and