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the following competencies and experience: Essential experience and skills: A PhD in bioinformatics, computational biology, genomics, evolutionary biology, health sciences, or a closely related quantitative field
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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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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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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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, 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
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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 optimization and energy-management methods for coordinating electrolyzers with renewable generation, power conversion, storage, downstream processes, and hydrogen demand. Apply and evaluate
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consist of the PI, one postdoc and one PhD. Read more about the project here: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en/research-leaders-2025/mathias
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as part of a running team including two PhD students. Your profile Applicants should hold a PhD in molecular biology, genetics, epigenetics, developmental biology, or a closely related field
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description CENSEMAT investigates crystalline energy materials in which non-random local deviations from the average structure play a decisive role. The postdoc will develop atomistic models that connect local