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Master’s degree related to the subject area of the project e.g. medicine, biomedicine, immunology, microbiology, biology, veterinary medicine. Other important criteria are: The grade point average achieved
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in qualitative interviewing can be provided). The recruitment population is open, and the PhD student may carry out interviews in their native language (although English or a Scandinavian language is
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applications Strong analytical and problem-solving skills Good communication skills and ability to collaborate across disciplines Motivation to make a real-world impact in sustainable energy and industrial
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in biomedical engineering, biotechnology or similar be ambitious, curious, and highly motivated have the ability to work in a team as well as independently have excellent communication skills in
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include: CMOS-based neuron and synapse circuit design Low-power digital architecture for SNN processing On-chip learning mechanisms Integration with sensor interfaces for biomedical signal processing What
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-tasks and language models. This position is part of SDU’s initiative to develop energy-efficient AI accelerators based on alternative model architectures that cannot be leveraged as efficiently
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interaction between experimental and theoretical activities. You will join a thriving community of researchers and benefit from a strong network of international collaborators. Our work environment is
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knowledge of English (written and spoken). Have high self-motivation to learn. Be able to work well and communicate expert knowledge in an interdisciplinary team. Have the ability of working independently
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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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-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