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CMOS implementation of event-based processing for edge-AI applications. The project will explore: SSM formulations adapted to spiking dynamics SSM implementation for time-series classification
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processes (e.g., application content, assessments committees’ refiguration and process) and 2) the outcome of evaluation and selection for diverse participants. The research will leverage artificial
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master problem in coordination with one or more subproblems, each responsible for generating promising variables based on the current master solution. The approach is particularly effective in applications
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and systems. Your PhD project will result in scientific publications and experimental validation of your results. You will present at international conferences as part of your research training, and you
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cell and stack using experimental data and advanced modeling techniques. Propose and implement improved operation modes to minimize degradation effects and enhance performance. As part of the PhD
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? What are the most effective methods for developing and validating dynamic equivalents for various simulation domains? How can these equivalents be integrated into existing simulation tools? Your primary
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to develop circuits that convert analog neural signals into digital or event-based outputs (e.g., spike-compatible signals) suitable for a neuromorphic backend. Note: This position does not involve designing
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Odense or in Esbjerg. The primary task in the positions is research and, as a result, to prepare a PhD thesis within the three-year employment. As a PhD student at the Department of Law, you will be part
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of Software Repositories and Issue Tracking Systems Fluency in English is required. For further information, please contact Professor Fabrizio Montesi (fmontesi@imada.sdu.dk ) Application deadline: 29 August
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attend an interview. Please note that a positive assessment does not automatically result in an interview. Applicants will be kept notified of their status during the recruitment process. Please find