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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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position or post-doctoral position (m/f/d) (Position number: 19-2025 Postdoc PREVENT) in the field of Weather Extremes and Climate Modelling, starting on 01.09.2025. The position is funded for 12 months
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performing simulations with computational models of the Earth system on different levels of complexity scientific publication records appropriate for the experience level experience in scientific software
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Economics (m/f/d) (Position number: 14-2025 Postdoc Spatial Equilibrium) in the field of spatial equilibrium modeling, starting on 01.08.2025. The position is initially funded for 18 months, with
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ecosystem models. Experience using high-performance computing systems. Proficiency in running numerical ocean models. Familiarity with operating systems such as Linux/Unix and proficiency in shell scripting
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). Your primary involvement will focus on Research Area 3. Required qualifications: Documented experience in developing and applying ocean models Experience using high-performance computing systems
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such as Git. Expertise in at least one of the following areas: Computer vision (e.g., object detection, segmentation, classification, explainable AI) Microbiome data analysis, bioinformatics, or modeling
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to the Baltic Sea region. Experience in running numerical ocean models and analyzing ecosystem model output. Experience using high-performance computing systems. Familiarity with operating systems such as Linux
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alignment and bioinformatics analyses Integrate computational, laboratory, and fieldwork approaches to study population genetics Develop and apply statistical and computational models for evolutionary
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in the Baltic Sea. The project integrates regional climate modeling, AI-driven simulations, and biogeochemical modeling to predict seagrass distribution under various climate and nutrient scenarios