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thus including sensing systems, tool condition features selection, algorithms for automated signal preprocessing, feature extraction and decision making based on ML and AI. An integral part of
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limited. We are offering a PhD scholarship for a student to develop ambitious new machine learning strategies for generating AI-ready data. You will work at the frontier of active learning and ML-guided
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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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dioxide, and you may read more about our activities at https://corc.au.dk/ . Here, we seek a motivated and qualified PhD student to join CORC’s satellite at DTU. The successful candidate will become part of
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and industrial applications. In the long term, this work aims to contribute to a reduction in resource use and carbon emissions by improving the efficiency, reliability, and durability of concrete
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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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for Industrial Mechanics. This center is an integral part of the Institute of Mechanical and Electrical Engineering, situated in the vibrant city of Sønderborg. Together, they form a hub of technological
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, section for Fluid Mechanics, Coastal and Maritime Engineering. The PhD project will play an integral part of the project “Marine advection and dissipation in the vegetated coastal environment”, financed by
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the absolute forefront of observing and modeling two of Greenland’s largest glaciers -- Jakobshavn Isbræ and the Northeast Greenland Ice stream (NEGIS). You will use GNSS data on ice surface and bedrock
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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