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to carry out high-quality research on the modelling of power system balancing process for future sector-coupled European energy systems. The task will include assessment of reserve requirements and
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-efficient accelerator architectures by designing digital and mixed-signal blocks for SSM inference in edge-AI systems. The successful candidate will explore novel SSM architectures that support sequence
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biology and biomedical problems. Common to all activities is an interest in cellular signaling pathways affecting cell appearance, metabolism and behaviour. The research group covers a broad spectrum of
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from you. This project focuses on sustainable diets for evidence-based public health advice. Diet is a focal point for climate change since food systems are major contributors to greenhouse-gas emissions
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that support spike-based processing and memory-efficient computation using SSMs, targeting edge-AI scenarios in wearables, robotics, or sensor networks. Research area and project description The project will co
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and startup “Zoom” seminar ” for all questions regarding the practical matters of moving to Denmark and working as a PhD at DTU. Application procedure Your complete online application must be submitted
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-out key analog and mixed-signal building blocks (e.g., low-noise amplifiers, voltage/current sources, multiplexers, digital logic) for operation at cryogenic temperatures. Develop measurement setups
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experience with: Signal processing Experimental design and data analysis Furthermore, the successful candidate is expected to: Have excellent knowledge of English (written and spoken). Have high self
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procedure Before applying the candidates are advised to read the Faculty information for prospective PhD students and the SDU information on how to apply . Assessment of the candidates is based
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application form for 5+3 applicants. Find the form at the Faculty website . Completed TEK PhD form for calculation grade point average. Find the form at the Faculty website . An official document describing