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candidate should be able to show research experience in national and/or international projects on process modelling and simulations, including both steady state and dynamic modelling and techno-economic
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the ‘Uppsala BioCenter’. The department undertakes fundamental research on model organisms, agricultural crops, forest trees and bioenergy crops. Our main areas of research comprise the interaction of plants
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to the development and maintenance of acute and chronic pain. The work involves advanced histological and neurobiological methods, as well as experimental models used to investigate interactions between the nervous
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-power charging infrastructure. The work will combine battery-system modelling, power-electronic architecture analysis, automatic control, and switching/modulation strategies. The postdoc will develop and
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disease models (e.g., AD/PD) Ability to develop independent research directions Preference will be given to applicants who have obtained their PhD degree no more than three years prior to the application
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at SLU in Umeå. About the position We are looking for a postdoctoral researcher with a particular interest in forest landscape modelling. As part of a two-year postdoctoral project, you will use
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architectural styles, architecture evaluation methods, and governance models, requiring new approaches for modularity, decoupling, versioning, deployment, and lifecycle management. At the same time, the project
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-level electrochemistry. You will collaborate with researchers from diverse technical backgrounds who work on transport applications and modelling tools for early battery lifetime indicators. About us At
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could develop the algorithms, models and software that: design and simulate self-assembling DNA nanostructures and molecular machines; turn artificial molecular networks into images — reconstructing where
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information see (https://lundmark-lab.se/ ) Work responsibilities Culturing and analysing mammalian cell models for infection Designing and developing infection models of flavivirus and alphaviruses Generating