39 algorithm-development "https:" "Simons Foundation" positions at Wageningen University & Research in Netherlands
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interdisciplinary research group dedicated to developing integrated approaches to geospatial systems analysis. Our team pushes the boundaries of how spatial data can be used to tackle today’s pressing environmental
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strategies (e.g., feature attribution, counterfactual explanations, dialogue-based explanations, hybrid symbolic–ML approaches); develop user-facing explanation interfaces that connect algorithmic reasoning
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into answering counterfactual questions. Using remote sensing multimodal time-series data and Earth foundation model embeddings, you will design and develop causal machine learning models tailored for dynamic
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packages to estimate variance components and/or in R; a desire to further develop advanced computational, modelling and algorithmic research skills, and utilize these developments into practical breeding
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the development of structural color. In addition, the project will investigate the incorporation of metallic nanoparticles to produce multifunctional hybrid photonic materials with enhanced optical and
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identify deviations and problems, discuss these with colleagues, and repeat parts of the experiment if necessary; you contribute to the execution of tests as part of the development of methods and techniques
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the supervision of bachelor thesis, master thesis, and research internship students, and may develop into an exciting and unique lecturer career track within the group. As a lecturer, you are devoted to, and have
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containing multiple miscible liquids, surfactants, polymers, and colloidal pigment particles just after droplet creation. This experimental project will design, develop, and build a high-speed imaging
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? No Offer Description Are you fascinated by the rapid evolution of Earth Observation (EO) and eager to shape the next generation of validation methods for near-real-time land change monitoring? Do you
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will also reflect on the normative and epistemic assumptions underlying technology development. You will collaborate in an interdisciplinary team with philosophers, media and literary scholars, and data