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the plasma reactor under various operating pressures and feed compositions. Develop and implement operating protocols for safe, stable, and efficient operation of the integrated plasma–membrane system
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, collaborating with researchers, policymakers, industry partners, and farmers who all work on translating complex data and modelling results into actionable insights. Key responsibilities Develop and apply
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turbulence profiles provide additional data for training and testing. A specific aim is to further develop the methodology of modular compositional learning (MCL). Here, an aquatic ecosystem model is
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, GC, and other relevant compositional and structural analysis methods. A strong publication record in peer-reviewed journals and demonstrated ability to conduct and lead independent research activities
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and carbon fluxes and quantitative modeling thereof. It also includes the isolation of new alkalophilic and hydrogenotrophic methanogens and acetogens, as well as Knallgas bacteria, the construction and
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quantitative and statistical modelling approaches to biological systems (including crop genetics, host-pathogen interactions, pathogen population genetics, evolutionary biology...). The candidate will work in
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tools or functional genomic information or OMICS to improve genomic prediction models. The persons hired will collaborate with industry partners, teach at undergraduate and graduate levels, and supervise
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We are seeking highly motivated and talented applicants for a 1-year postdoctoral position (with the possibility of 1-2 year extension) in the area of efficient foundation model inference. Join us
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June 1, 2026, or soon thereafter. The position is within the research section Management and Modelling. The research section Management and Modelling develops methods and tools for herd management
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complement the Department’s ongoing activities in landscape-scale modelling, with a specific focus on nature-based solutions in agricultural landscapes. The successful candidate will be integrated