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farmer livelihoods. We seek candidates with expertise in landscape ecology, agroecology, ecosystem services, conservation/restoration decision-making, agent-based modelling, or related fields. The PDF will
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(100%, E 13 TV-L, 3 years + possible extension, m/f/d) We seek a highly-motivated postdoctoral research fellow with strong expertise in cognitive computational modeling and an interest in applying
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to) fish biology and ecology; population and community dynamics and modeling; and fisheries management and conservation. Methods employed may include or combine theoretical, observational, and experimental
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flexible ecological modelling tools to help EU authorities design and optimize effective nature restoration plans. The postdoc will model species distribution at fine scale using advanced Species
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the translation of ecological science into decision-making. Experience with quantitative analysis, modelling, simulation, or programming, preferably in R, Python, NetLogo, Julia, or comparable tools
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mechanisms understanding and optimize treatment for mental health using computational tools, with a particular focus on developing ecologically valid computational frameworks and models. Our research uses both
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environment, collaborating with experts in atmospheric chemistry, ecology, air quality, exposure science and environmental modelling. The position offers excellent training opportunities, access to national and
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degree or equivalent. We especially encourage applications from researchers who address fundamental questions in ecology using field research and/or computational, mathematical, and statistical models
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decision-making Preferred Qualifications: Previous experience with passive acoustic monitoring and/or eBird data Strong background in statistical modeling Familiarity with ecology and/or ornithology
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postdoc’s duties will include research within invertebrate biology, cell biology and marine ecology as well as some teaching. Further information on the Department is linked at https://www.science.ku.dk