39 programming-"Multiple"-"U"-"Prof"-"O.P"-"Humboldt-Stiftung-Foundation" "U.S" Postdoctoral positions in Netherlands
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trends and results, as input to the strategic planning of the Agency. The team has been at the forefront of research in differentiable programming and intelligence, particularly in its applications in
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publications), and or other textual data Knowledge of, or strong interest in AI, digital technologies, and their applications Proficiency in programming languages (e.g., Python, R) and data analysis Ability
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). This includes identifying new factors that drive disease progression. The primary focus will be on using state-of-the-art genetic programming (in particular: GP-GOMEA) for small, explainable expression discovery
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to reduce these emissions by at least 1 Mton in 2030. In support of these policies, several research projects funded at (sub-, inter-) national level (such as the Netherlands Research Programme on Greenhouse
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. Explore options for high level assessment of environmental and social impacts of individual CCUS projects. Conduct multiple CCUS exemplary case studies in the Netherlands and support project partners in
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reviews. This postdoctoral position offers a unique chance to research and improve teaching quality and teacher development. You will further develop, test, and refine RIDE across multiple faculties
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). Has experience in extracting structured information from unstructured documents. Hhas experience working with text in multiple languages. Is committed to Open Source and Open Science practices. Has
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undergraduate students. We focus on high quality teaching and research in the fields of human and economic geography, demography, and spatial planning. Our research program is titled TRACE (TRAnsformations
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-master design program being part of the program Business Information Technology. For more information on the BIT EngD program, see https://www.utwente.nl/en/education/tgs/interested-in/engd/programmes
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programme in 2008. Through the CCI, ESA is developing a suite of global data records of key components of the climate system, known as essential climate variables (ECVs). The climate-quality datasets produced