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The Department of Geosciences and Natural Resource Management invites applications for a 3-year full time postdoctoral position on the development and application of models, to simulate
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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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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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out the transition to becoming an independent researcher. The postdoctoral fellow will refer to Center Director, Professor Tine Jess, and will work closely with the Center's interdisciplinary group
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& ecosystem structure under rising biosphere novelty. The work will integrate ecological, demographic, environmental and remote-sensing information to develop scenario-based forecasts of European vegetation and
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Evaluating the effects of seaweed-based feed additives on the behaviour and welfare of dairy cattle. Investigating behavioural indicators of discomfort and pain associated with feed management. Validating
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qualitative interview studies, surveys, register data, or experiments. Qualifications: Applicants will have completed a PhD in Management, Economics, or another related social science discipline before the
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Postdoctoral position for the project Human AI Collaboration: Imaginaries, Interventions, Interfaces
design or similar relevant fields as documented by a PhD dissertation and/or relevant research publications experience in the professional management of research projects relevant teaching experience
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identifying ecological and functional connections between environmental and host-associated microbiomes. The postdoctoral researcher will work closely with a PhD student and an international network
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, system-level digital-twin framework connecting electrolyzer models with relevant Power-to-X components and energy-systema. Develop system-level optimization and energy-management methods for coordinating