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used by the research team and will test the algorithms already developed by the laboratory and improve them on the basis of their performance to recognise drug induced cell morphologies About You You
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provide large and complex datasets. By applying advanced pattern recognition and clustering algorithms, the aim is to automatically detect coherent spatial domains. These domains represent regions with
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mathematical statistics, machine learning, coding, and algorithmics. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research
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, implementing and/or applying AI algorithms on modern computational platforms, and will have access to the UF HiPerGator, the fastest higher education supercomputer in the United States for higher education
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the team. These include the use of Tensorflow, PyTorch and Python. You will work with large imaging datasets commonly used by the research team and will test the algorithms already developed by
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and significant piece of information to the right point of computation (or actuation) at the correct moment in time. To address this challenge, you will focus on developing theoretical and algorithmic
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progress in machine learning and artificial intelligence, the successful candidate will have primary responsibility to develop, implement, and test multimodal machine learning algorithms to analyze and
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, coding, and algorithmics. Contribute to programme design, accreditation, and innovative teaching strategies that enhance student experience and employability. Research & Scholarship Lead independent
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? No Offer Description Simula UiB (https://simula-uib.com ) is a research institute in Cryptography and Information Theory located in Bergen, Norway. The Department of Information Theory is currently
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for Innovation & Entrepreneurship (CIE) to further develop vibrant academic and co-curricular programs. We especially welcome candidates whose work engages areas such as digital humanities, algorithmic culture