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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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27 Aug 2025 Job Information Organisation/Company Technical University Of Denmark Department DTU Electro Research Field Engineering Physics Technology » Nanotechnology Researcher Profile First Stage
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to quality teaching, supervision, and associated examination, as required across the range of modules offered on the Pshychology program. In relation to teaching, applicants should document: Ability to teach
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basic research. We are happy to move beyond traditional disciplines and work to develop new technologies and sciences across physics, chemistry, pharmacy, mathematics, computer science and biology. The
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have a two-year master's degree in, e.g., physics, chemistry, materials science, or nanoscience (120 ECTS points), or a similar degree with an academic level equivalent to a two-year master's degree
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PhD Scholarships in Piezophotoacoustic Technology for Minimally Invasive Endoscopy - DTU Health Tech
. The project is highly interdisciplinary and we expect that you enjoy teamwork. You are expected to have a background in physics, materials science and/or microfabrication technologies. You are highly
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decision-support or safety-critical systems. Knowledge of Cyber-Physical Systems, Sensor Fusion, or Risk Management is an advantage. Excellent programming skills (Python, C++, or similar). Ability to work in
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. These are essential components for optical quantum computers and quantum networks, where one bit of information is encoded in the quantum state of a single photon. You will be part of a team of 10-12 people between
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. The project is highly interdisciplinary and we expect that you enjoy teamwork. You are expected to have a background in physics, materials science and/or microfabrication technologies. You are highly
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on conventional computing platforms such as GPUs, CPUs and TPUs. As language models become essential tools in society, there is a critical need to optimize their inference for edge and embedded systems