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., machine learning, stochastic dynamic programming, simulation). Affinity with (food) supply chain management is preferred. To collaborate with and to co-supervise MSc thesis students and internship students
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about 40 % of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its
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University and Uppsala University. The center also collaborates with several other universities. The employment will be placed at the Department of biochemistry and biophysics, at Stockholm university. More
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consortium; form interdisciplinary collaborations across fields and geographical locations within the Netherlands; acquire skills by active participation in science communication activities, interacting with
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, we expect you to learn Dutch. Of course we will support you with this. Openness, supportive and flexibility are core characteristics of the team. As research scientist you will collaborate with other
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of the research activity involves independent and collaborative research within the field of L2/Ln acquisition and learning Contribution to sub-group “Input and Frequency Effects in L2 Acquisition” within research
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. Preferred qualifications: D. in Quantitative Genetics/Genomics, Computational Biology, or Related Discipline. Skilled in single-cell transcriptomic analyses, machine learning and artificial intelligence
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Industry-based HDR project open for Domestic Students in Australia (Citizens and Permanent Residents) at RMIT University in collaboration with Consunet Pty Ltd. The scholarship is supported by
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace - In Partnership with Rolls-Royce PhD
. CDDE provides access to advanced simulation tools and a collaborative environment focused on AI, digital twins, and immersive technologies. This project is co-sponsored by Rolls-Royce, offering unique
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weather prediction using Machine Learning approach (hybrid forecast). The app is also expected to be equipped with seasonal forecast for agricultural planning. You will co-design the short-, medium-, and