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Job Description You will join a supportive and dynamic research team working at the intersection of machine learning and operations research. Your main task will be to design and implement ML
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computationally efficient numerical structural models. To support the condition (state) assessment, the project will also explore the use of advanced estimators (e.g., Kalman Filter) or Machine Learning models
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tasks will be to: Genetic engineering of bacteria. Phenotypic characterisation of engineered strains. Teach and supervise BSc and MSc student projects. You must have a two-year master's degree (120 ECTS
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Job Description We are looking for a motivated PhD candidate to explore how fish distribution and habitats are linked across coastal and offshore waters in Denmark. The project focuses on improving
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to help address the antimicrobial resistance epidemic that kills over a million people annually? Then this Novo Nordisk Foundation-funded PhD scholarship, located in one of the World’s most livable cities
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PhD scholarship in Corrosion of Power Electronics Systems under Humidity and Gases If you are looking for an exciting opportunity for PhD, we at Materials and Surface Engineering section, Department