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texture is explained by physical and chemical properties of food, and you will learn how to measure these using techniques such as rheology, particle sizing, and biochemical assays. You will also undertake
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Hey machine learning enthusiast with a love for physics and
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: Master’s degree in Electrical Engineering Ranked within the top 10% of their class in MSc and BSc, and have exceptional grades Good background in deep learning with familiarity in model training, inference
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, experiential learning and opportunities to attend relevant UEA teaching. In addition, you will be a member of the NIHR Academy and able to access the training and resources available to Academy members. You will
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at University of Copenhagen. The Doctoral Candidate will be supervised by Professor Petra Daryai-Hansen. IRP13 is embedded into Work Package 4 (WP4) ‘Language learning and plurilingualism in the era of GenAI’. In
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the subsequent years, you will combine these insights with predictive modelling and select, train, and validate process-based or deep-learning fire propagation models using a.o. detailed information about
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. Applicants must have excellent skills in oral and written English. Fluency in a Scandinavian language is an advantage. All our staff is given the opportunity to attend courses in order to learn Norwegian and
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Engineering, Machine Learning, Applied Mathematics, or a related field. A strong academic background and interest in AI systems, embedded intelligence, edge computing, machine learning, or related areas. Strong
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23 Jul 2026 Job Information Organisation/Company University of Twente (UT) Research Field Educational sciences » Education Educational sciences » Learning studies Researcher Profile First Stage
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Leibniz-Institut für Analytische Wissenschaften – ISAS – e.V. | Dortmund, Nordrhein Westfalen | Germany | 3 months ago
The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early