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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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for multimodal inferences, combining computer-vision, environmental parameter measures and DNA data. Your role will be central in data acquisition and foremost machine-learning models creation. You will
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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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founded research area of "Digital Technologies" with a focus on computer-aided high-throughput methods and AI-supported model development presentation of scientific results at international conferences and
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future climates with focus on the Baltic Sea, Black Sea and Mediterranean Sea Assessing the climate change impact on the three target seas‘ physics and biogeochemistry Estimating changes in extremes
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Computer-adaptive methods and multi-stage testing Application of machine learning in psychometrics Predictive modeling of educational data Methodological challenges in cohort comparisons Advanced meta
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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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Experience and interest in working in research teams Collaboration with other research groups in joint research projects Desirable additions to your profile Knowledge of human-computer interaction and data
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of relevant parameters, and providing realistic error estimates for positioning. A concept for a user warning system will also be developed. The IOW (Leibniz Institute for Baltic Sea Research) contributes
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people and nature. We are looking for an internationally recognized scientist (m/f/d) in the field of computer or natural sciences to develop modern technologies for collection-based research with a focus