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of the biggest challenges is the development of efficient, scalable, and low-noise control electronics that operate at cryogenic temperatures. This PhD project addresses this challenge by designing CMOS-based
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approximation algorithm, using linear programming methods. Over the next years, the project will grow to a collaborate team of 4-5 PhD students and Postdocs. The successful candidate will work directly with the
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applications Co-integration of SSM-SNN cores with RISC-V processors in CMOS Hybrid analog/digital interfaces for spike generation and propagation Event-based communication protocols for ultra-low-power operation
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) at the Research Unit of Obstetrics and Gynecology, Department of Clinical Research, University of Southern Denmark (SDU), from 1 March 2026. Research environment The PhD position is part of the FEMME project funded
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for assessing and improving the performance of existing structures. The position is to be filled by February 1, 2026, or as soon as possible thereafter. Job Description The successful candidate will be part of
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Job Description Center for Industrial Software, part of the Maersk Mc-Kinney Moller Institute, University of Southern Denmark, located in Sønderborg, invites applications for a 3-year PhD position
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? We invite applications for a PhD position, focusing on the design and implementation of Spiking Neural Networks (SNNs) using CMOS technology. Project Overview This PhD position is part of a
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three years with an expected starting date of April 1, 2026, or as soon as possible. MCI is a part of the University of Southern Denmark (SDU) and covers research and education, including applications
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for intelligent brain-computer interfaces? We are offering a PhD position in analog/mixed-signal CMOS circuit design for EEG and wearable sensor interfaces, as part of a pioneering project focused on assistive
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Digitalisation. The candidates will be responsible for researching the field of Supply chain operations analytics, more specifically focusing on understanding and assessing the role of agentic AI for supply chain