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expertise in data science, with hands-on experience in techniques such as machine learning, reinforcement learning, and simulations, and in handling large-scale, within-person, or real-time datasets; A strong
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productivity and sustainability in livestock populations. In this PhD project, you will contribute to developing accurate and unbiased genomic models for large-scale within-population genomic evaluations
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image analysis (segmentation, statistical feature extraction etc.) The project is part of a larger collaboration involving the Faculties of the University of Twente and a large industrial company
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Postdoc in computational social choice for large-scale deliberation (1.0 FTE) (V25.0203) « Back to the overview Job description A 2-year postdoc position in computational social choice for digital
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observation technology for problem-solving. Problem-solving means primarily the identification of solutions for large-volume producers of geo-information and the identification of solutions for application
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uncovering companion biomarkers for precision treatment using cutting-edge bioinformatics and proteomics approaches. You will analyze bulk and clonal protein expression data from large melanoma cohorts
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. Familiarity with large datasets (e.g., labour force surveys, administrative data). Conditions of employment We offer you in accordance with the Collective Labour Agreement for Dutch Universities: A temporary
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(hereafter, large grazers) are also increasingly used in nature management. For a densely populated country like the Netherlands, this means that there are constant interactions between people and wild mammals
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from storms by large storm surge barriers such as the Oosterschelde and the Maeslant barriers. But: what is the role of these barriers in the future? There are many uncertainties about their long-term
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bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML