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of theoretical and applied IT programmes of study at all levels. Our subject areas include hardware, algorithms, visual computing, AI, databases, software engineering, information systems, learning
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detection and classification algorithms using measured and/or simulated data, such as current pulses from cable faults (breakdown), partial discharges and external noise. In addition to being part of
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qualifications: Experience in running large-scale analyses on Linux-based HPC clusters using job schedulers (e.g., Slurm) and/or on cloud research platforms (e.g., DNAnexus/AWS). Experience in analysing high
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the experimental work. The scheduled activities for this position include: Documenting the state-of-the-art of current and new recycling processes for spent LIBs. Developing process steps for separating
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perspective. The candidate will also work with computational thermodynamics using commercial software to support the experimental work. The scheduled activities for this position include: Documenting the state