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. We envisage combining process-based modelling and machine learning, as well as integration of Earth observation data into the modelling framework. The objective is to quantify the GHG budgets
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will focus on developing an experimental pipeline for plant–soil–microbe interactions, from greenhouse screening to field validation. The research will examine how rhizosphere microbial communities and
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with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction or a related field who enjoy making empirical, methodological, and technical contributions
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of subjects focusing especially on plants, soil, and microorganisms from molecules through organisms to populations and anthropogenic ecosystems. It is our vision to maintain and develop our position
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to think independently, in human-AI interaction. You will connect the project's technical work with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction
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variability near the Faroe Islands and downstream ocean and climate changes around Denmark, as well as researchers working with statistical early-warning methods and Earth system modelling. Together
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approach from observations to projections (www.firnmelt.eu ). FirnMelt is a major international research effort combining airborne-, satellite- and ground-based radar, in situ firn observations, and advanced
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scientific papers aimed at high-impact journals Write and defend a PhD thesis on the basis of your project We are looking for the following qualifications: Professional qualifications, in particular
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Physics of Ice, Climate, and Earth); High Energy, Astro-particle and Gravitational Physics; Quantum Physics (including Atomic, Molecular and Optical Physics) and Condensed Matter Physics. We seek to appoint
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sustainable food production, environment, climate, health and welfare for animals and humans. The activities form the basis for the research-based public sector consultancy and degree programs covering