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to this interdisciplinary project by investigating the oceanic component—specifically how marine environmental variability influences R-Mode signal propagation and positioning accuracy. AIR-MoPSy is a joint effort of the IOW
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critical element of the Earth’s climate system. Understanding its behavior in the past is important for how it will change in the future and for the impacts this will have on European climate. This project
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team and lead the development and application of machine learning methods to large-scale genomic data generated at IPK-Gatersleben, with a focus on the impact of genetic variation on gene regulation
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and apply cutting-edge methods in artificial intelligence (AI) to address urgent societal and environmental challenges such as improving food security, promoting animal welfare, protecting biodiversity
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(Sustainable Tourism Evolving Paradigms) will analyze possibilities for sustainable tourism in tropical island destinations. The project applies interdisciplinary mixed methods to identify and question possible
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and processing of industrial policy data and ensuring rigorous analytical methods are applied. Your Profile Required: Ph.D. in Economics Proven expertise in industrial policy research Fluent in English
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, contributing to solutions for current societal challenges with experimental methods or applied econometrics. conceiving, acquiring, managing, and working on third-party funded projects. guidance for doctoral
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the team of Prof. Dr. Loriana Pelizzon on data and methods for supervision of climate and ESG risks in Capital Markets (incl. investment funds, bonds, stocks). The role involves advising and
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in non-academic, participatory contexts and projects with their own citizen science component. Your tasks: For researchers (m/f/d) working on their doctorate: to develop a historical, cultural or
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Analysis and other analytical methods Profile: We are looking for highly motivated candidates (m/f/d) with a PhD degree in inorganic chemistry, organometallic or organic chemistry who are interested in