85 computer-science-programming-languages-"St"-"St" Postdoctoral positions in Netherlands
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on the resulting algorithms and pipelines. As an emerging paradigm, differentiable programming builds upon several areas of computer science and applied mathematics, including automatic differentiation, graphical
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(max 2 pages); Curriculum vitae (if applicable list any publications, statistical program skills, and/or other programming/coding skills); A writing sample demonstrating large-N, big data, data science
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Centrum Wiskunde & Informatica (CWI, the Dutch national research institute for mathematics and computer science) has a vacancy in the research group on Multiscale Dynamics for a Postdoc (m/f/x
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relevant discipline (e.g., data science, computer science, engineering science, artificial intelligence, or health science/psychology with specialization or additional training in data science); Demonstrable
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. Education is organised into six programme clusters: Psychology; Artificial Intelligence; Pedagogical Sciences and Educational Sciences; Communication Science; Sociology; and Cultural Anthropology and
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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on carbon turnover models and the fusion of data science forecasting methods with process-based models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your
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to the ground segment and operations domains, for the procurement and delivery of data systems in support of ESA’s Space Safety Programme, and as a matrix support provider to ESA programmes and mission operations
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: 12 September 2025 Apply now Join the faculty of Geosciences as a postdoctoral researcher! You will work on carbon turnover models and the fusion of data science forecasting methods with process-based