84 model-driven-development "Integreat Norwegian Centre for Knowledge driven Machine Learning" PhD positions in Denmark
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Management Cluster. Our faculty members rely on a wide range of theories and methodologies, within both qualitative and quantitative approaches, and are committed to rigorous theory development and theory
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of existing buildings. The position is part of BUILD’s ongoing research on developing and operationalising methods that allow renovation, transformation, and continued use of the existing building stock to be
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quantum computing programme, funded by the Novo Nordisk Foundation, that will drive research and innovations at multiple levels - from developing scalable quantum processor technologies to solutions
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statistical modeling with clinical insight, aiming to improve risk prediction and inform sex-specific prevention strategies in atrial fibrillation patients. The research will be conducted in close collaboration
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as a change in how firms codify knowledge: prompts, models, workflows, and governance routines make some expertise executable while creating new burdens of evaluation, maintenance, and revision
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organizational practices such as recruitment, evaluation, communication, coordination, learning, and career development. These developments may create new opportunities for workplace inclusion, while also
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hereafter. The duration of the position is three years. Your work tasks A PhD stipend is available in the field of power electronics, with a focus on developing reliable and circular substrate and integration
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analysis in software such as R, Stata, Python or similar tools. You are comfortable working with datasets, developing statistical models and documenting your analytical choices. Experience with experimental
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will be part of a team of researchers responsible for the annual productivity studies by Aalborg University Business School. These studies provide data driven insights into regional productivity
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whether each applicant is qualified and, if so, for which of the two models. The assessed applicants will have the opportunity to comment on their assessment. You can read about the recruitment process at