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Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips
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chromatograph, FIA and electronic particle counters i.e., Coulter counters also available. As a PhD fellow, you will be associated with the research groups and get access to instrumentation of your main and co
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website: https://healthsciences.ku.dk/phd/guidelines/ Application procedure Your application must be submitted electronically by clicking ‘Apply now’ below. The application must include the following
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is to develop a low-power, privacy-preserving Internet of Things system that supports caregivers in delivering high-quality, home-based care for elderly individuals. The project focuses on developing
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environmental engineering. A collaborative and analytical mindset, with the ability to synthesize complex information across experimental and theoretical domains. Enthusiasm for advanced electron microscopy
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questions about the recruitment process, please contact HR Coordinator Mette Fisker Præstegaard, Email: mfp@au.dk Place of work Department of Political Science, Bartholins Allé 7, 8000 Aarhus Formal
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Energy simulation software, such as TRNSYS, Modelica, EnergyPro Programming languages, such as Python Ability to communicate results in technical reports, and prepare scientific papers for publication in
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, lasers, quantum photonics, optical sensors, LEDs, photovoltaics, ultra-high speed optical transmission systems, bio-photonics, acoustics, power electronics, robotics, and autonomous systems. Technology for
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electrolysis Design of electronic circuits and power electronics Materials characterization Electrochemistry Moreover, the successful candidate is innovative and able to work in cross-disciplinary teams has good
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in Danish. Further information For further information about the position, please contact Professor Lars Frederiksen, Email: L.Frederiksen@mgmt.au.dk Who we are The Department of Management is one