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for career development Access to high-performance computational resources (with GPUs) A collaborative environment across research fields, including plant biology, quantitative genetics, and population genetics
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of bioacoustic signals. Extensive experience with programming (Matlab, R, Python) including GPU programming is required, and familiarity with edge-based machine learning (particularly sound event detection), open
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have access to NBIA’s substantial computational resources, including an in-house CPU/GPU cluster. Postdoctoral fellows at the Niels Bohr Institute receive a competitive salary (including pension) and
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responsible for: Conducting research on sustainable and resource-efficient AI systems for edge datacentres. Creating hardware-aware search spaces for CPUs, GPUs, and accelerators, and developing multi-objective
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
field data acquisition, processing, and interpretation. * Strong programming skills. Advanced Python programming is mandatory; experience with PyTorch, GPU-implementations, or other high-performance
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computational resources (with GPUs) A collaborative environment across research fields, including plant biology, quantitative genetics, and population genetics Opportunities for collaboration and research visits
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, including a GPU cluster, and strong international networks. Terms of employment The average weekly working hours are 37 hours per week. The position is a fixed-term position limited to a period of three years
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GPU clusters for large-scale analyses. Terms of employment The average weekly working hours are 37 hours per week. The position is a fixed-term position limited to a period of 3 years. The employment is