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reused to answer different kinds of questions. This PhD position focuses on developing a semantic model of geodata sources of a given map repository in terms of the questions they can answer, their
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University, you will build models and methods to parse natural language questions into geo-analytical workflows, combining NLP and semantic representations to improve how complex spatial questions can be
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We’re looking for a motivated PhD student with a Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We
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We are seeking a highly motivated researcher to conduct research in modelling and monitoring forest growth. About the position The projects focus on developing models for forest types and tree
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specializes in computer science and, more broadly, in information and communication sciences and technologies (ICST). Its research activities are organized around several major axes: the modeling and
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processes studied, specifically high moisture extrusion, drying, and ripening processes, useful to understand and control the mechanisms of texture development. - To study and model the relationship between
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), ecological processes (primary productivity and decomposition rates), and greenhouse gases (3D-printed flux chambers), and investigating how we can use citizen science-driven data streams for model development
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the development and implementation of machine learning (ML), computer vision (CV), large language models (LLMs), and vision-language models (VLM) to automate data extraction and interpretation for productivity
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other empirical damage and vulnerability data. Couple the ABM with the Regional Flood Model (RFM) to describe temporal developments of flood risk considering adaptation decisions. Different adaptation
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a powerful way for assessing forest stress and disturbances over large areas and to monitor forest vitality over time. This research uses remote sensing technologies together with physical models and