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-enhanced exact methods, particularly focusing on Column Generation (and Branch-and-Price), to improve scalability and convergence in solving complex optimization problems. In collaboration with your
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modeling paradigms; tool implementation and application to complex cyber-physical systems (e.g. transport, water, energy) Requirements Applicants must have a master’s degree in computer science or a closely
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and its role in building green technologies, here is a perfect PhD project for you. Electrocatalysts are essential materials for producing green fuels and chemicals. Conventional electrocatalysts with
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system management, especially around data quality, metadata governance, and the integration of machine data for long-term monitoring. Through a hybrid approach combining physical models and machine
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encompasses the creation of insights that allow the development of context-aware, distributed, and embedded cyber-physical systems, with a particular focus on Internet-of-Things (IoT) and the computing
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Job Description If you are aspiring to shape the future of industrial R&D or academia - especially in the context of renewable energy and intelligent systems - this PhD position may be
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of electron microscopy imaging and spectroscopy to reveal the structure–property relationships that govern molecular adsorption mechanisms. This interdisciplinary project is fully funded by DTU’s PhD grant
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Project MYC is a critical transcription factor in most cancers, where it cooperates with many different protein complexes to activate diverse pro-tumorigenic pathways. Together with a senior postdoc in the