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at the Institute for Risk Assessment Sciences (IRAS) as a PhD candidate investigating the impacts of nitrogen deposition and soil acidification on microbial communities and forest vitality. You will explore how
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we seek new forms of ceramic durability through both historical and recent production processes. You will explore, for instance, what climate-just harvesting and processing of soils may look like in
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Infrastructure? No Offer Description Join the ERC-funded GeoTrAnsQData project and explore hybrid AI approaches to better understand, structure and formalise geo-analytical questions. This helps shape the future
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to explore your passion for geology and geomorphology, study debris-flow processes, and build a strong research career in the growing field of natural hazards. To support academic and personal development, PhD
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an approachable and highly experienced research team. You will explore cutting-edge topics in specification-driven development, large language models, and AI-assisted software engineering. Your job As a PhD
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understand real-world challenges? Do you enjoy exploring and formally analyzing aspects of human reading and related cognitive tasks? Join us and contribute to an exciting multidisciplinary research project
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deposition and soil acidification on microbial communities and forest vitality. You will explore how changes in soil microbial diversity affect tree growth, survival, and drought sensitivity in weakly buffered
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ERC-funded project “Strategic Care in Activism: Mental Health Across Scales of Social Change” (Care2Act) exploring activism and mental health. Working at the intersection of psychology and sociology
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develop teaching skills and explore whether you see a future in academia. Where to apply Website https://www.academictransfer.com/en/jobs/357311/phd-position-in-probabilistic-a… Requirements Specific
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large geodata repositories, enabling users to explore various ways maps can be reused to answer different kinds of questions. We are looking for a motivated PhD candidate to conduct interdisciplinary