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of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent
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, are central to this transition, enabling recyclable, lightweight structures. Research now targets energy-efficient, automated processes and machinery to deliver high-quality components for the next generation
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research project “Uncovering the creative process: from Inception to Reception of translated content using machine translation” (INCREC), financed by an ERC Consolidator Grant and coordinated by
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particular circumstances that the applicants disclose (e.g. parental leave, caring duties, part-time jobs to support studies, disabilities etc.) to ensure an inclusive and fair recruitment process that does
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for a tax exemption on a part of their salary during the first five years in the Netherlands. Selection process For more information about the position, please contact Marnix Medema, professor
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years in the Netherlands. Selection process For more information about the position, please contact Sanne Kruikemeier, Professor Digital Media and Society, via email: sanne.kruikemeier[at]wur[dot]nl
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, please contact Davide Wüthrich (Assistant Professor in Hydraulic Structures) at d.wuthrich@tudelft.nl . Application procedure Are you interested in this vacancy? Apply via the application buttom below
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preferably start around 01-12-2025 and requires knowledge of geometric image processing and machine learning. Information As Post-doctoral Researcher within VICI Project "Geometric Learning for Image Analysis
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Steel Netherland’s “Green steel” transition plan aims to replace the existing blast furnace and coke oven with more sustainable DRI-EAF route by 2030. Integrating DRI into EAF steelmaking process presents
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). For a complete overview of the terms of employment, please refer to the web page: werken bij de KNAW . Applying for a Certificate of Good Conduct can be part of the employment procedure.