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As research assistant, your primary tasks are full time laboratory work and data analysis. You contribute to the development of the department through research of high international quality. In your
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. The position also involves applying computational tools to guide enzyme selection and cascade design, as well as to interpret kinetic and screening data. The candidate will document methods and results in a
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within SDU NAT's External Relations Team Coordination of SDU activities for the Center for Pharmaceutical Data Science Education , a cross-institutional initiative funded by the Novo Nordisk, Lundbeck, and
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outlets, social media platforms, and individual news diets, drawing on, among other data sources, data donations from individuals and automated content analyses. SP2 will examine how people perceive and
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. Development of quantitative image analysis to extract information on atomic vibrations and displacements from image series. Investigate molecular adsorption, surface reconstruction and site-dependent reactivity
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testing and condition monitoring using modern machine learning, including multimodal foundation models and related data-driven and physics-informed approaches. Research topics may include visual and real
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of research designs and methods. Experience with relevant methods, such as data donations, automated content analyses, panel survey analyses, and in-depth interviews, is an advantage. Applications
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of wind turbines. Despite remarkable progress in structural health monitoring boosted by AI, purely data-driven models have no physical interpretability and poor generalization capabilities. Thus
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theoretically. Further information can be obtained in the department’s qualification guidelines. Successful candidates will be expected to teach and supervise students in our business administration programs
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datasets, UAV-derived information on NBS, and environmental data to quantify ecosystem services across Danish agricultural landscapes. The postdoc will work within an interdisciplinary team of applied and