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occur, and how can the overloading of individual regions be counteracted? Your contribution to scientific analysis: Further develop existing energy system models in Python to accurately map and analyze
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technology integrated with a cloud-based platform for real-time data analysis and remote expert consultation. The goal is to create an explainable AI-assisted monitoring system that improves decision-making in
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dynamic environmental conditions; Integrate empirical data analysis into conceptual models to investigate how altered conditions due to offshore wind farms may lead to broader ecological impact across
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align with media consumption of documentary/light entertainment; fictional stories; information; games/gaming; music. It would be advantageous to have experience with: market research qualitative
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technology, power, and politics. Particular merits include: Skills in relevant methods, such as qualitative text or discourse analysis, digital ethnography, quantitative analysis of digital data, social
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techniques from optimization and control theory, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will
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Black Thrive Global; by assisting with literature reviews on racialized inequality in care; by conducting qualitative research (incl. interviews, participatory creative workshops, data analysis, writing
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-oriented way of working A distinct advantage would be: Experience with data analysis and scientific programming (e.g. Origin, Igor Pro, Python, Matlab, Mathematica) A good command of written and spoken
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experience equip you to contribute to the project’s objectives. Where possible, please highlight relevant skills – such as experimental design, data analysis, neurophysiological methods, or legal/regulatory
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with quantitative data analysis excellent written and spoken English in order to qualify for admission to PhD programmes at the Faculty of Health Sciences, applicants must have achieved a grade of B or