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. Conduct statistical analyses of the acquired datasets. Contribute to the publication and presentation of research findings. Assist in the supervision of Ph.D. students. Profile Prerequisites: PhD. degree in
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techniques (e.g., filter-based, morphological, and statistical methods) with machine learning approaches Collaborate with interdisciplinary teams, ensuring seamless integration of image analysis with
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sensing, and field sampling, and use these data to answer questions with statistical and process-based models. Project background We are inviting applicants for a postdoctoral position, starting as soon as
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, serving as a basis for statistical evaluations of stone formats, brick bonds, and the like. Where applicable, you also perform geometrical analysis of vault geometries and traces of formwork. You interact
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in RL Transfer learning in multi-task bandits and RL Statistical or generative decision making The exact project scope will be tailored to the candidate's strength and expertise. The candidate is
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. We are a group of interdisciplinary researchers combining field studies with biogeochemical analyses as well as statistical and mechanistic modeling. Our mission is to understand and predict