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visualization, as well as model validation, tuning, testing, and interpretation. The role also involves organizing training and joint activities in collaboration with other infrastructures in Sweden and across
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pursue the understanding of how water resides and is transported in nature and urban systems from an engineering perspective. This includes but is not limited to, comprehension and modeling
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remote brain areas in vivo in animal models that underlie plasticity in the prefrontal cortex of mice. We will focus on neuronal micro- and macro-circuits that influence our feeding behavior, which
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of the toxicity and availability of pollutants, such as PFAS and heavy metals, in sediments under climate change conditions. For this project, we use zebrafish as a model organism to investigate short and long-term
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experiments, field assessments, and modelling approaches to investigate microbial nutrient limitations across diverse ecosystems and climates. By improving our understanding of these processes, this research
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-of-the-art computational resources, enabling advanced simulations and modeling. Moreover, we actively collaborate with leading experts in laser diagnostics, automatic control, heat transfer, and life cycle
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of surface sites makes theoretical understanding difficult. This project will develop and benchmark machine learning models to predict local electronic density of states (DOS) at alloy catalytic sites
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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
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and new business models to ensure a scalable circular economy. The research will cover question such as supply management, governance models and contract management. The main task is to write reports
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defects, using both patient samples and model systems (mouse and fly). Implement methods for advanced image analysis. Develop strategies for metabolic tracing in tissues. You will collaborate closely with