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the transformative power of real-world experiments, living labs and other experimental settings with new insights, instruments and increased capacities. This will enable change-makers – including researchers
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we believe that different insights lead to innovative solutions. We create a work environment where everyone feels welcome, safe, and appreciated, regardless of background, identity, or experience
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that different insights lead to innovative solutions. We create a work environment where everyone feels welcome, safe, and appreciated, regardless of background, identity, or experience. Together, we are building
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diversity and inclusion because we believe that different insights lead to innovative solutions. We create a work environment where everyone feels welcome, safe, and appreciated, regardless of background
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data (e.g., Instagram and TikTok activity) from youth, to be able to gain unique insight into what they post and consume online. This proposed PhD project will form an integral part of a larger
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of Amsterdam. Interested in developing fundamental machine learning techniques for tabular data to democratize insights from high-value structured data? Then this fully-funded 4-year PhD position starting Fall
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, and level of data literacy, get insights from structured data, efficiently, accurately and securely. Goal of this PhD project Tabular data analysis is an emerging specialization of AI-powered systems in
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professionalising all involved partners (i.e. students, teachers, workplace assessors). Your duties and responsibilities: Develop theoretical and conceptual insights in innovative (formative, programmatic) assessment
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fundamental questions about the symmetries of nature, the quantum nature of black holes, and the quantum description of cosmological spacetimes. The theory also provides fundamental insights into quantum field
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believe that different insights lead to innovative solutions. We create a work environment where everyone feels welcome, safe, and appreciated, regardless of background, identity, or experience. Together