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application! Work assignments You will join the research project Countering Bias in AI Methods in the Social Sciences, a collaboration between the Institute for Analytical Sociology (IAS) at Linköping
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12 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Chemistry » Analytical chemistry Chemistry » Physical chemistry Chemistry » Other Computer science
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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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12 Sep 2026 Job Information Organisation/Company KTH Royal Institute of Technology Research Field Chemistry » Analytical chemistry Chemistry » Inorganic chemistry Chemistry » Other Engineering
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of training in higher education teaching and learning. The purpose of the position is to develop the independence as a researcher and to create the opportunity of further development. You will have particular
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(EMI). This is a fully funded position with an open thematic orientation, and we welcome ambitious and methodologically rigorous proposals that address important questions of teaching and learning
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. Within this postdoctoral project, we aim to develop AI-driven analytical frameworks for multi-omics integration and precision medicine-based decision support. As postdoctoral fellow, you will focus
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
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spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions
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, decision-making, and preference or belief elicitation is also relevant for the position. To be successful in the role, documented experience of conducting high-quality research and strong analytical skills