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digital twin framework, adaptable to: The level of detail available for ship modelling, The quality of risk-related data, and Quantified model and data uncertainties. The project will advance knowledge
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analysis of experimental fibril formation data. Experience in designing experiments to evaluate protein aggregation mechanisms. Practical experience in isotopic labeling of proteins. Practical experience
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within the Data Science & AI division (DSAI). With 30+ nationalities and strong industry/academic ties, we offer a dynamic, collaborative ecosystem. The AI and Machine Learning in the Natural Sciences
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An opportunity to carry out research at the forefront of human genomics, with cutting-edge methods, large data sets and good resources A creative role combining a high degree of autonomy with mentorship from Dr
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benefits The university applies individual salaries. More information about employee benefits is available here . Union representatives Information about union representatives, see Help for applicants
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-frequency water quality monitoring as well as a solid background in statistical data analysis and previous experiences with catchment hydrochemical modelling will be particularly useful. Excellent English
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solutions that pave the way for a sustainable planet and healthy humans. Research topics span from food chemistry and food technology to molecular and data- driven nutrition (Precision Nutrition). In Food
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), recovery of critical raw materials, and the synthesis of new materials from secondary sources. More information about the research can be found here: Industrial Materials Recycling – Chalmers Main
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. Placement: Uppsala For further information about the position, please contact: Ruisheng Xiong (e-mail: ruisheng.xiong@kemi.uu.se, +46736538132). Please submit your application by July 30, 2025, UFV-PA 2025
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are assessed by the PIs of each project, respectively. For detailed information about every project, click the link. 1. Evolution of Scots pine forests since the last glacial maximum https://www.umu.se/en/ucmr