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Field
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to solve complex scientific challenges? Do you thrive in an R&D environment where your ideas and the software you write directly impact cutting-edge research? We are seeking postdocs as an HPC
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external large-scale datasets. The role focuses on establishing the data foundations for the program’s initial modelling efforts by identifying, evaluating, integrating, and structuring large biological
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validation, the research will identify the structural and chemical features that govern their performance. Building on these insights, computational methods will be used to explore and design new composite
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produced in parallel postdoc projects in the initiative. The research aims to gain a deeper understanding of the structure / performance relationship of the developed electrolytes and interactions between
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for parameter estimation, degradation prediction, and analysis of electrochemical and structural characterization data, including X-ray CT image reconstruction, segmentation and quantitative microstructure
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communication skills, with the ability to work in teams and present scientific work. You are structured in your approach and take initiative to independently drive your work forward. You can quickly switch
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will be devoted to practical problems in economics and finance, like the construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses in
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such as biodiversity loss, ecosystem function decline, and the impact of indigenous and invasive pests and diseases. Our work aims to develop sustainable agriculture and forestry practices, particularly in
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on modelling and forecasting how transport activity interacts with energy use and emissions over time. Transport Emissions and Health This position centres on understanding and forecasting the health impacts
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design. Perform large-scale computational screening using first-principles calculations and machine-learning potentials. Analyze structure–property relationships and extract scientific insights from AI