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interacting with machines and with each other. The project's main goal is to build a digital simulation environment that supports industrial design, testing, and optimization of automated fish production lines
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probabilistic machine learning project with applications in bioscience. As part of the project, you will be involved in Conducting original research in probabilistic machine learning, within the topics mentioned
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English fluently and has obtained excellent results in the master phase. The PhD candidate should have a background (MSc/MA, preferably research master) in normative philosophy (ethics and/or epistemology
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eligible applicants must: • have completed an Honours Degree with First Class or 2A Honours, or equivalent level, or a Master's degree with a significant research component; • have applied, or currently
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Primary supervisor - Prof Kate Kemsley Join us to research and develop advanced analytical methods for tackling food fraud head-on! Economically motivated adulteration of foods is a significant
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NDVI, SAVI and EVI, provide the best indication of former channel networks. Original thought could also be demonstrated in developing the method of comparing measurements to the pre-existing data and the
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science. Candidates should have an exceptional academic record and a robust mathematical
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, or computer science with a strong theoretical focus. Candidates should have an exceptional academic
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(PhD student) you are expected to perform high-quality research and disseminate results through publications and presentations at conferences both in Finland and overseas. The main task of a Doctoral
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correspond to a five-year Norwegian degree program, where 120 credits are obtained at master's level You must have a strong academic background from your previous studies and an average grade from the master's