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The AIP project investigates the economic effects of artificial intelligence (AI). Some expect that AI will lead to positive impacts in terms of innovation, productivity and economic growth. Others point
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a scope corresponding to at least 20 ECTS for an integrated master's degree of 300 ECTS. All applicants should have a grade point average of B (or equivalent) on their master’s degree in order to be
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bridge traditionally separate areas of study to provide new insights into fundamental biological processes relevant to health and disease. Your main tasks will be The candidate will analyze and integrate
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of EU/ EEA countries and exemptions from the requirements: https://www.mn.uio.no/english/research/phd/regulations/regulations.html#toc8 Grade requirements: The norm is as follows: The average grade point
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disrupting cellular signaling via G protein-coupled receptors (GPCRs). We have recently discovered that these chemicals disrupt adenosine and melatonin receptors widely expressed in the brain. Given
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: The norm is as follows: The average grade point for courses included in the Bachelor’s degree must be C or better in the Norwegian educational system The average grade point for courses included in
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and further processing should be guaranteed to happen according to some established policy or contract, and it should prevent any other unauthorised access or usage since sensitive data that is
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applicant from each of these groups for an interview. If you fall into any of these categories, feel free to indicate it when applying for the position. Learn more about the criteria for being considered
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an integrated computational biology approach, the project will bridge traditionally separate areas of study to provide new insights into fundamental biological processes relevant to health and disease. Your main
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background in systems thinking, analysis and modelling Experience in teaching and supervision in higher education at least on MSc level Knowledge of graph theoretical approaches and graph signal processing