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structural technologies, this PhD position offers a unique opportunity. Join MET2ADAPT to engage with some of the most challenging and high-impact questions surrounding next-generation wind and wave energy
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Interaction venues. For further information about the project, see: https://www.nordforsk.org/projects/nordic-perspectives-collaborative-ai-blue-collar-work-cai-blue. Your competencies You must hold a master’s
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mainly in wet-lab, discovering binders by phage display selection and characterize them by ELISA, BLI and enzymatic activity assays. You will also perform in silico structural analysis and design of
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quantitative methods (e.g., regression, multilevel modeling, structural equation modeling) is an advantage. Interest and/or experience with experimental, big data, and/or mixed methods research designs. Strong
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with international collaboration and the ability to work effectively in interdisciplinary teams. A structured and analytical approach to work and problem-solving. Experience with research dissemination
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interdisciplinary teams. A structured and analytical approach to work and problem-solving. Experience with research dissemination – e.g. scientific publications and/or conference contributions. Other professional and
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interdisciplinary teams. A structured and analytical approach to work and problem-solving Experience with research dissemination - publications or conference presentations - is an advantage, as well as other
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about the project, see: https://www.nordforsk.org/projects/nordic-perspectives-collaborative-ai-blue-collar-work-cai-blue. Your competencies You must hold a master’s degree in computer science, human
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-Structures for Adaptable, Resilient and Sustainable Renewable Energy Power Plants), a prestigious Marie Skłodowska-Curie Doctoral Network funded by the European Union. As a Doctoral Candidate in MET2ADAPT, you
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of Professional Associations on Academics in the State (AC). The position is covered by the Protocol on Job Structure. Responsibilities and tasks in both PhD programmes Carry through an independent research project