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knowledge of extracting (event) data from text, documents, and/or media articles or implementing large-N analytics and algorithms, preferably LLMs and/or NLP. Conduct collaborative and independent research
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Your job Data are important for measuring the preconditions, processes, and effects of (urban) infrastructure. However, this often brings certain values into focus more than others. Aspects such as
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place in collaboration with the group of Greg Stephens (VU Amsterdam), who has an expertise in developing advanced analysis tools for behavioral data. Your qualities You have a passion for applying
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Department of Analytical Chemistry and Chemometrics, where we transform chemical data into valuable insights for industrial sustainability using the newest hybrid AI. Collaborate on exciting projects with
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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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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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past and/or current research/activities Ability to gather and share relevant information General interest in space and space research Behavioural competencies Education You should have recently completed
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up of data from the NWO Veni project. This position also offers opportunities for personal scientific growth by contributing to the advancement of research, providing support and collaborate with PhD
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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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traditional large-sample approaches to study fewer individuals in unprecedented detail, leveraging an already collected rich dataset to better understand individual brain differences in autism. What are you