19 software-defined-network-postdoc PhD scholarships at University of Southern Denmark
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for brain signal acquisition Implementing an on-chip neuromorphic processor with a spike encoder and spiking neural network Developing a low-power spike-based transmitter. Setting up measurement systems and
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professor, one assistant professor, one postdoc, and a large number of PhD students. The project includes strong partnerships with the University of Leipzig (Bioinformatics, Prof. Peter Stadler
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individualized course program Training in a wide range of skills including research management, communication, networking, presentations, writing of manuscripts etc. Research exchange to collaborating institution
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opportunities for growth and collaboration in public health research. Internally, we focus on creating networks for professional mentoring with skilled colleagues across different sections, including a network
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description Conduct a literature review on SSMs, LLM architectures, and hardware acceleration techniques. Investigating design choices that optimize the model across both the hardware and software stack. Design
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.) Familiarize with standard CMOS modeling tools and limitations of traditional EDA tools at cryogenic temperatures. Define the system architecture of the quantum interface unit, including control, readout, and
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successful integration into the cilia research field and networking. Access to an international collaborative environment that can be used for a mandatory up to 6 months research mobility. Access to state
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the Spiking Neural Network (SNN) itself. However, close collaboration with another PhD student working on the SNN hardware design is expected to ensure seamless signal interfacing and system integration. Key
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projects and features a strong network of academic and industrial partners. We solve challenging research problems from real applications and implement novel robot solutions together with end users such as