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universities. The transition towards electrified and energy-efficient energy systems poses significant challenges in predicting the coupled behaviour of thermofluid, electromagnetic, and rotordynamic processes
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In this PhD position, you will help design the next generation of circular plastics systems by combining hands-on polymer processing with data-driven modelling. The PhD study is a full-time, fixed
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in complex biological networks e.g. food webs, forming the foundation of natural ecosystems. Yet, we lack the tools to predict how these networks change in time and space. This is especially critical
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on ocean and coastal dynamics, marine processes, and their response to environmental change through a combination of field observations, data analysis, and numerical modelling. The position is embedded
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are taught in Danish, priority will be given to candidates with language proficiencies in Danish, Swedish or Norwegian. About the PhD programme The three-year PhD programme at CBS gives you the opportunity
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open. AI-intensive service sectors with traceable occupational structure (fintech, marketing/RegTech, HR analytics, professional services with rich job-posting data) are natural candidates; final sector
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to work with quality as the guiding principle interpersonal skills and collaborative competency advanced language skills in Danish and English (oral and written) Knowledge of or experience with innovation
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physics – to be obtained before 1 September 2026 (equivalent to a Danish master's degree) Excellent writing and oral skills in English and ability to work independently. Research environment The PhD project
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to applicants with the following qualifications: high grades from their universities, an educational background in the social sciences, and fluency in English. To be considered for the 3 years program, the
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, or mathematically founded data science as well as excellent oral and written English language skills. Experience with spatial statistics is an advantage. The applicant must hold an MSc degree in mathematical