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complete picture of fish habitat use and connectivity. The PhD is part of the section for Ecosystem based Marine Management and the Marine Habitats research group, as well as several synergistic initiatives
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energy-efficient CMOS blocks implementing SSM-based LLMs. Prototype hardware blocks on FPGA and prepare for ASIC tape-out. Benchmark performance and comparison with transformer accelerators. Work with
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for seizure detection. These algorithms will be implemented on a spiking neural network (SNN) processing unit deployed on FPGA and custom-designed chips with an integrated detection mechanism. Research area and
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. Annotate images Support data collection and processing Qualifications The ideal candidate will: Have basic Python programming skills Possess a foundational knowledge of physiology and anatomy Be familiar
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the pdf-files into a single file, as each field handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not be password
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single file, as each field handles only one file. We do not accept zip-files, jpg or other image files. All pdf-files must be unlocked and allow binding and may not be password protected. The assessment
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Denmark and at DTU at DTU – Moving to Denmark . Application procedure Your complete online application must be submitted no later than 15 September 2025 (23:59 Danish time). Applications must be submitted