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The Leibniz Institute for Solid State and Materials Research Dresden e. V. (IFW Dresden) conducts modern materials research on a scientific basis for the development of new and sustainable materials and technologies. The institute employs an average of 500 people from over 40 nations and, in...
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project meetings Managing big biodiversity datasets, including quality assurance/quality control and methods for automation Analyzing spatial and temporal biodiversity data, and accompanied environmental
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applies mixed methods including qualitative and quantitative approaches and artificial intelligence to identify new avenues for coastal nature-based tourism and to identify and question possible pathways
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year Interest in an academic career and in topics related to resilience and resilience promotion, as well as in the analysis of neuroimaging data and/or the computational modeling of psychological
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to load any pages, check your computer’s network connection. If your computer or network is protected by a firewall or proxy, make sure that Firefox is permitted to access the web. If you continue, a third
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of diligence and an acute attention to detail, a solid grasp of causal relationships and mechanisms is desired ideally, experience with (quantitative) research methods including econometrics We expect
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-learning programme designed for emerging leaders in museums, heritage, and cultural institutions. Since 2021, each year 25 African and 25 European talents embark on an immersive, year-long journey
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science foundation (DFG). Doctoral students (m/f/d) are facilitated to participate in the doctoral program in order to successfully complete their dissertation. We offer an attractive workplace with
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methods such as atomic force microscopy and optical spectroscopy. The project is embedded in a planned international research training group between Prague and Dresden. Your profile: A Master's degree in
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, pollutant exposure methods, and data analysis. Additionally, through a planned cohort study, you will gain experience in translating laboratory findings into real-world health applications. Key