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, computer science, and statistics The objective of this PhD project is to develop machine learning algorithms that perform efficiently and coherently across both classical and quantum computing platforms. The PhD
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by the Danish EUDP project “RePower-HPC.” Future AI and high-performance computing (HPC) systems demand unprecedented power levels driven by massive data processing. A key challenge is enabling
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Department of Electronic
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working in a Linux-based high-performance computing environment. Prior experience with analysis of NGS and single-cell sequencing data, preferably experience with BCR and TCR sequencing analysis. Sound
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programme. Academic staff contribute to the teaching. English is the preferred language in the laboratory, at meetings and at seminars. The department employs approx. 500 people from all over the world, and
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₂ Research Center (CORC). The successful candidate will contribute to the HyperCap research program by developing improved and cost-efficient synthesis routes for thermodynamic promoter systems used in gas
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, timing, power, and sign-off) Hardware accelerator development for deep learning, edge AI, and data-intensive workloads Energy-efficient and high-performance accelerator design Hardware–software co-design
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integrated circuits, which may include: design, simulation, and experimental validation of analog and mixed-signal integrated circuits and systems; low-power and high-performance data converters, sensor
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Biological and Chemical Engineering programme. The position