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environmental economics using register data from Statistics Denmark. Depending on the right candidate, the position could either be a part-time research position for 12 months (20 hours per week) or a full-time
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Technology: https://www.phd.aau.dk/health The application is only to be submitted online by using the"Apply online" button below. AAU wishes to reflect the diversity of society and welcomes applications from
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, metabolomics, Big Data analysis relevant for human health, diseases and microbiome engineering. Your primary tasks and responsibilities will include the following: Implementation of novel computational based
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brought about by science and technology. A pivotal idea in Science and Technology Studies is that we need to understand science and technology as entanglements of social, technical, environmental, and
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are The mission of ANIVET is to perform basic, strategic as well as applied research and innovation within the department’s core activities: nutrition, health and welfare. The activities make up the science-based
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20 Mar 2024 Job Information Organisation/Company Copenhagen Business School Research Field Economics » Environmental economics Economics » Labour economics Researcher Profile Recognised Researcher
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for a period of 2-years. The position is part of the departments focus on promoting sustainability and environmentally friendly crop production systems. We conduct research on various aspects of crop
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: Background in data science, statistics, psychiatric epidemiology, or related fields, with a relevant PhD degree (required). Experience in psychiatric disorder research (preferred). Experience with the analytic
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: Academic qualifications at PhD level Research experience in either economics, environmental effects of livestock production or interactions between herd management and animal health Research tasks Collection
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. Please note that the position is time-limited for 1 year (from the date of hire). Guide innovation by integrating economic and environmental impact workflows Your job is to build a user-friendly