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past fertility changes can be compared with bulk organic matter parameters that reflect organic matter source and conservation. Job description Integrate in the Earth and Ecosystem Dynamics group, where
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computer scientists, experimentalists and clinicians. You will be involved in cross-disciplinary collaborations and have training opportunities to further develop and grow your scientific interests. Access
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responses approximate human behavior. The project involves a collaboration between behavioral and computer scientists. The ideal candidate has some knowledge in both areas, and the specific behavioral domain
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an interest in how psychological theory can improve synthetic data and in deepening our understanding of when and why LLM-generated responses approximate human behavior. The project involves a collaboration
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to support a circular bioeconomy. We are seeking a highly motivated postdoctoral researcher to develop and apply machine‑learning and data‑science methods, with a focus on computer vision, to enhance wood
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to estimate annual carbon and water budgets. You hold a PhD in plant physiology, urban ecology, or a related field, and possess strong quantitative and scientific writing skills. You demonstrate excellent
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digital technologies (computing, data, algorithms, AI) and society. Interest and experience in STS and humanities pedagogy in engineering contexts. Interest and experience to collaborate with computer