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, Aalborg University and TU Delft, including microbiologists, process engineers, biopolymer and formulation specialists, and analytical chemists. A background within glycobiology, carbohydrate chemistry and
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(e.g., network calculus or similar timing-analysis methods) and/or dynamic reconfiguration (e.g., using Q-search, reinforcement learning, or metaheuristics). You may also contribute to developing
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woodland systems. Willingness to travel and work at field sites in Denmark and Sweden. Strong analytical skills, with proficiency in statistical modelling (e.g., hierarchical regression models, integral
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learning methods. Familiarity with or interest in behavioral software systems – for example, development of applications or tools that incorporate nudging, persuasive technology, or behavior change
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mathematical and analytical models to predict coil loss, facilitating the optimal design of HPMCs Constructing a large-signal platform to measure coil loss of HPMCs Exploring innovative solutions, such as new
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human and animal tissue for genetic, molecular and analytical analysis and will be working in hospital environment, animal facilities and research laboratory with microbiology and histology focus. Your
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, a large initiative funded by the Danish Ministry of Foreign Affairs and managed by Danida Fellowship Council. Ethio-Nature aims to optimize the use of machine learning and remote sensing to site
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). Strong analytical skills and ability to handle cross-disciplinary industrial collaboration. Experience in sustainability assessment (e.g., materials life cycle, circular economy) is a plus. Excellent
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..) Digital Twin & Digital Transformation Development & Deployment of Digital Twins for smart cities, or data infrastructure. IoT-based Data Sources, Big Data Pipelines, & Real-time Analytics. Federated Systems