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research environment. The position includes close collaboration with project bioinformaticians developing genomic-based models to predict species sensitivity. The project involves partnerships with the UK
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and European companies and international academic partners. The AI4OR group focuses on solving complex problems, which require high-level modelling, data analysis and management capabilities as
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, you will be offered an interview to clarify your future career. The main responsibility of the PhD fellow is to plan and conduct research focused on applying different types of modelling methods
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on modular and reconfigurable manufacturing systems and develop methods and model-based approaches to design and evaluate resilient reconfigurable manufacturing systems. The methods will be co-developed and
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90 are PhD students, and 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
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crystallinity. Therefor prior knowledge of state-of-the-art modelling software and molecular dynamics simulations and quantum mechanical calculations to elucidate the reaction mechanism, together with AI based
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for resilient manufacturing systems. This topic will build upon existing theory on modular and reconfigurable manufacturing systems and develop methods and model-based approaches to design and evaluate resilient
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tracked from ground stations using cameras and similar sensors, and how drones can better understand their surroundings, for example, through camera-based navigation in GNSS-denied environments. The PhD
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disease models. The emphasis will be on the communicative potential of these vesicles in the gut-brain-metabolic axis. The LHMI group operates a state-of-the-art molecular biology laboratory and maintains
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projects and work packages, will be considered an advantage. Additionally, knowledge of and documented experience with the Problem-Based Learning model, as practiced at Aalborg University, will be highly