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metocean and biogeochemistry models accounting for climate change impacts across Europe (from the Nordic Seas to the Black Sea and Mediterranean Sea) and the Pan-Arctic region. The PhD project focuses on new
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data analysis workflow from data import/cleaning to descriptive statistics and at least one inferential model. Code must be included and clearly commented. This is required to demonstrate advanced
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. Developing innovative separation processes is expected to positively impact the circular economy and enable Sustainable Business Model (SBM) innovation. The current project's goal is to contribute
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and enable Sustainable Business Model (SBM) innovation. The current project's goal is to contribute to the establishment of new knowledge and principles for recycling spent LIBs by developing innovative
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practical organization of study activities Data analysis using advanced statistical and epidemiological methods Writing and publishing scientific articles in peer-reviewed journals Presenting findings
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expertise, this may involve: Neurological data collection Neuropsychological assessment of young children (<3 years) Coordination and practical organization of study activities Data analysis using advanced
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on advances in electricity grids and power markets to facilitate energy resource interaction and exchange. These platforms provide data for flexibility and demand response, connecting distributed resources
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NCS operators to share and reallocate power. Digital tools for collaboration and reporting will become vital. Second, new digital energy platforms are emerging, building on advances in electricity grids
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to work independently and in a structured manner, as well as have the ability to collaborate with others. Proficiency in both written and oral English (this is the working language of the centre). Start
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independently and in a structured manner. Applicants must have good collaboration skills and the ability, willingness, and commitment to work in a multidisciplinary team. Admission to the PhD programme at