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orchestration, while leveraging new technologies such as integrated sensing and communication (ISAC). These initiatives bring together leading academic, industrial, and public-sector partners to develop
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generation, conversion, and utilization in different electro- and thermo-mechanical systems where the study of heat transfer, fluid mechanics, reactive flows, as well as solid mechanics plays a central role
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motivated candidates for a postdoctoral research position to develop and characterize carbon materials, such as natural graphite, porous carbon and hard carbon, intended for energy storage applications
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samples, lack of training data and sample variability. In this project we aim to develop AI/ML workflows for improved quantitative analysis of LNPs. Your responsibilities will include optimisation of data
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spatial data science perspectives will be used to organise and interpret the evidence, identify geographical and methodological gaps in existing research, and develop a coherent knowledge base to support
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. The research combines computational protein design with synthetic biology to develop new molecular functions and mechanisms for controlling the formation, organization, and functional properties of living
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must be inferred from the data. The overall goal is to develop reliable and robust statistical methods that can contribute to scientific understanding and inform decision-making and public policy
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The Scientific Data Group You will join the Scientific Data Group within the Technical Division of MAX IV Laboratory. We develop and operate high-performance data acquisition systems for cutting
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experimental studies, mechanistic modelling, time-resolved data analysis, and machine learning to develop and validate predictive models linking process signals to reaction behaviour, progressing from controlled
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equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made. Documented scientific expertise in cellulose, fibre or polymer chemistry