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computer scientist with programming experience, but no background in science communication - or vice versa - we still encourage you to apply. Your tasks and duties will be a subset of the following
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Sustainable Thermoelectric Cooling Modules Project Overview: Thermoelectric cooling technology, prized for its solid-state operation, has predominantly relied on bismuth telluride (Bi2Te3). However, Bi2Te3
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such as ecology, economy and social sciences. ZMT aims to use data science tools, including computer vision and deep learning, for the study of rapid changes in tropical coastal socioecological systems
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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, in particular, the climate of the Baltic Sea region Familiarity with physical processes of semi-enclosed coastal seas such as the Baltic Sea Competency in visualizing and analyzing large-scale datasets
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theory and practice; research experiences in living labs will be an advantage Knowledge of systemic agroecology and agroecological transformation processes Experience in qualitative research methods
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and quantify water mass transformation (WMT) processes in the Skagerrak, connecting the North Sea and the Baltic Sea. The Consortium members study these WMT processes by developing and applying WMT
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-frequency in-situ sensors and instrumental lab measurements, as well as new high-throughput AI-based approaches, while ensuring interoperability of data processing pipelines in coordination with scientists
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implementation of the corresponding field work Processing sediment, porewater and water samples for carbon analysis, carrying out the analyses Application of spectroscopic and mass spectrometric methods
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research on democracy. Substantive areas of focus might include the functioning of democratic institutions, internal and external threats facing democracies, and processes of democratization and democratic