10 parallel-programming positions at AALTO UNIVERSITY in computer-science in United Kingdom
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and parallel computing; our work frequently appears in the top conferences of the field (recently e.g. STOC, SODA, ICALP, PODC, and DISC), and we have received a number of awards, e.g. the best paper
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and parallel computing; our work frequently appears in the top conferences of the field (recently e.g. STOC, SODA, ICALP, PODC, and DISC), and we have received a number of awards, e.g. the best paper
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information sciences. In parallel with basic research, we develop ideas and technologies further into innovations and services. We are experts in systems science; we develop integrated solutions from care
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of the six schools of Aalto University. Our portfolio covers fields from natural sciences to engineering and information sciences. In parallel with basic research, we develop ideas and technologies further
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the intake of new students when needed. Your network and team You will be mainly working with The Department of Design lecturers and professors Bachelor’s Programme in Design and Fashion students majoring in
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, watermarking, source tracing, and generative AI. Good programming skills, preferably including Python and modern machine learning tools. Basic knowledge of deep learning, signal processing, speech/audio
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) Preliminary Research Plan (3-5 pages in length) which includes background information, research objectives and methods, possible hypothesised results, possible collaboration, and any other key information. (3
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clients’ demands. An important task is to make a go-to market plan for the services and products of the project and map out different commercialization options e.g. start-up establishment. What we offer We
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Applicants must fulfil the eligibility and admission criteria for Aalto’s Doctoral Programme in Engineering as specified Aalto Doctoral Programme in Engineering | Aalto University . Do note that the applicants
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learning, signal processing, computer science, or a related field. Strong experience with deep learning and generative models. Programming skills suitable for modern machine learning research, preferably