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methods and theories. You can work independently while contributing actively to a collaborative and inclusive research environment. Experience working with quantitative data, statistical analysis, or survey
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electrical energy storage systems; energy management systems. Experience with data processing, statistical analysis and machine learning techniques is an advantage. Knowledge with Mathworks suite, C/C++ and
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and bioavailability of vitamin D. You will join the Research Group for Bioactives - Analysis and Applications. If you're ready to push the boundaries in increasing the vitamin D content in foods and
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production networks into mathematical formulations (Linear Programming or others) to find solutions. Experience (via master’s project or/and experience) with Techno-Economic Analysis (TEA) and Bioprocess
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secondments (indicatively) at: Columbia University (USA) for advanced training in stochastic modelling and rare-event analysis. University of Trento (Italy) to link UQ models with meta-material configurations
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for alcohol use disorder (n = 60). The DC will also contribute to the analysis of therapy session recordings, focusing on therapist behaviour, meaning-making processes, and their relationship to treatment
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. You will be part of a team pursuing the development of novel integrated data analysis diagnostic tools that address key challenges in the field of energetic particle physics in fusion plasmas, such as
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, execution, analysis, publishing, and public dissemination. A solid set of field specific methods is necessary. Candidates are expected to be willing and able to contribute to the DDC by producing original
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collaborative and inclusive research environment. Experience working with quantitative data, statistical analysis, or survey research is expected, and prior experience with Danish register data or other
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and reshapes higher education practices over time. Methodologically, the project will adopt a mixed-methods design that may combine qualitative inquiry, comparative case analysis, and quantitative