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Field
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related field Strong Python programming skills and experience with PyTorch or TensorFlow Interest in multimodal data, time-series analysis, or NLP Excellent English; German or French is an asset
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preserve, access and develop knowledge over time with the support of automated reasoning. Different KRLs and tools were developed that make it possible to build semantic representations that can simplify
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real-world case study. Unlike most research limited to simulations, this PhD will deploy and validate control strategies in real buildings over long periods. The supervision team is Prof. Laurent Georges
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, combining street-level information, citizen-generated data, and spatial analyses to assess how visible, accessible and equitably distributed different kinds of green spaces are. A key part of your work will
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discipline prior to enrolment. The successful candidate should demonstrate: Strong programming skills (e.g. Python, C++ or similar) Solid foundation in linear algebra, geometry, and optimisation Experience
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., Python, MATLAB, etc.) The successful candidate must be enrolled in USN’s PhD program in Technology within three months of accession. For admission to the Programme, the weighted average grade of B
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differences in productivity among firms and at the aggregate level. The stipend is open for appointment from November 1, 2026 or soon hereafter. The duration of the position is three years. Your work tasks You
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configurations across different operating environments and requirements. Addressing this gap will support the development of manufacturing systems that can better adapt to change, reduce costly redesign, and
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religious traditions per site designed to establish how the beliefs, practices, and orthodoxy of distinct religious traditions translate into measurable differences in cognitive computations (to be launched
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. It will use signals from different sources—such as radio signals and internal sensors— to maintain robust and accurate PNT, even when satellite signals are weak or missing. A built-in intelligent