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of multi-species communities using theoretical modeling approaches. The candidate will focus on developing a mathematical model (e.g., preferably individual-based models) from basic equations to investigate
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the usefulness of the projects can read more if they wish. In that spirit, here is a more detailed case for how the work could be useful. Requirements: Strong background in economics, mathematics
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opportunity to address a broad variety of fundamental and applied ecological questions in fields like metacommunity theory, time series analyses, multiple stressors responses, invasive species, ecological
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doctoral degree (or expected completion within a few months), for example in economics, regional science, economic/quantitative geography, mathematics or related field demonstrated knowledge and experience
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master's degree (or equivalent diploma) and a PhD in meteorology, oceanography, or a related natural or geoscientific discipline with significant physical and mathematical components. It is essential
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teaching and curriculum development. Your qualifications PhD in computer science, data science, applied mathematics, physics, or a related field. Strong expertise in machine learning and deep learning
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, and light-matter interactions. Strong theoretical knowledge/programming skills (e.g.: Keldysh path integral, quantum transport theories, molecular dynamics simulation, exact diagonalization and (time
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significant physical and mathematical components. It is essential that you have the ability to conduct independent scientific research within a collaborative team environment and demonstrate enthusiasm
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geoscientific discipline with pronounced physical-mathematical components. Evidence of very good English language skills is required. The ability to work scientifically independently in an interdisciplinary team
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The Leibniz Institute on Aging - Fritz Lipmann Institute (FLI) in Jena is a federal and state government-funded research institute and member of the Leibniz Association (Leibniz-Gemeinschaft). FLI’ s internationally visible and highly competitive research is focused on understanding the...