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for industrial decarbonization with emphasis in system development, modelling, optimization and validation, and focus on: Develop thermally integrated storage and conversion systems, including Carnot batteries and
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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disease, with a strong focus on fibrosis and inflammation. Over the years, we have developed an advanced translational toolkit, including human precision-cut tissue slices, a unique organotypic model
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modelling. It is expected that the degree of involvement in meetings and organisational tasks related to research projects will increase steadily during the employment. The following qualifications are highly
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target trials, group-based trajectory modelling, mediation analyses, and Bayesian modelling approaches to investigate adherence to cancer treatment and recurrence. The research fellow will join a vibrant
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. This will require both technical insight into data modeling and a solid understanding of how real-world engineering data is generated, structured, and used. For the postdoc position, we are looking for a
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2026 or as soon possible. Job description This position will involve designing, conducting, and analysing experiments to understand the impact of inflammation on the gut-brain axis in the zebrafish model
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experimental systems, ranging from molecular screening tools, state-of-the-art methods for molecular/cellular characterization, animal models, and primary human cell/organoid models. We offer a unique
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academic and industrial domains. The scientific outcomes are expected to be significant in: Earth system science – by improving models of Earth surface evolution and enabling better predictions of landscape
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collaboration with survey providers in Denmark and Germany. Analyzing survey data using quantitative methods such as conjoint analysis, regression modeling, and causal inference techniques. Writing academic