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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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). 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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to explore new unstructured data and methods Strong attention to detail with good organization skills; ability to manage multiple, concurrent tasks Evidence of engagement in high-quality research activity
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genuine interest in both fundamental and applied research. The ideal candidate is flexible, self-motivated, and has a collaborative mindset. You will be closely working with experts across multiple
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to derive overarching scaling principles that apply across multiple disciplines, including hydrology, socioeconomics, toxicology and ecology. To achieve this, you will collect data from databases, reviews
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profile, experience and research proposal. Planning and autonomy: The objective is to study the state of the art of planning algorithms that would support onboard autonomous operations of a rover system on
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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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going to do Analyze a uniquely extensive neuroimaging dataset (90 minutes of functional MRI per participant across multiple sessions and conditions, detailed structural and diffusion-weighted data
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of complex procurements, from the preparation of work plans and tendering to the closure of contracts, and for management, reporting, financial and planning aspects. You will have multiple interfaces within
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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