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quantitative skills: modelling, data analysis, and scientific computing (e.g. R, Python). Strong written and spoken English. The ability to work independently and across organisations. The project involves KTH
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excellent infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing
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infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure
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universities at KTH, Linköping, and Umeå. About us The Department of Computer Science and Engineering , a joint department of Chalmers and the University of Gothenburg, spans the breadth of
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computing, both within our department and two other universities in Sweden (KTH and Umeå University). The project is coordinated by Professor Simin Nadjm-Tehrani within the Cybersecurity division at