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, aggregation, linking and retrieval of comprehensive heterogeneous and distributed data sources. To this end, both statistical and linguistic analysis methods (NLP) as well as machine learning in combination
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the results from the model analysis to air-mass-following observations and process model studies carried out within the project. Your Profile A high degree of scientific curiosity and willingness to explore new
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
). The Empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
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in scope? Critically assessing the added value of 3D-based generative modelling compared to 2D-based approaches Tailored reward functions towards specific design objectives Dynamically incorporating
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biology Experience with multi-omics data analysis or AI-driven biomedical research is a plus Interest in tumor microenvironment, immune response, and systemic effects of local therapies Ability to work
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). The empirical research should capture and analyze teaching and learning processes, for example by video analysis or eye-tracking. Development activities for instance may include AI tools, the creation
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to environmental changes in the ocean and what effects this has on ecosystems and biogeochemical cycles, particularly the uptake and storage of carbon dioxide in the sea. Methods used include the analysis
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its detailed analysis through Oxford Nanopore Technologies (ONT). Your role will be central in creating and applying bioinformatics and machine learning tools to analyze long-read data and decipher cap
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recommendations for policymakers and stakeholders. Overseeing data collection, analysis, and methodology development for policy evaluation projects within the Industrial Policy Lab, ensuring high-quality and robust