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an outstanding and ambitious postdoctoral researcher in computational biology to pioneer understanding and modeling of tissue architecture using single-cell and spatial transcriptomics data. The focus will be
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production, recycling and value chain optimisation. The research focuses on applied AI in areas such as sensor data analysis, time series modelling, automation and decision support, with strong links
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partners to identify challenges, co-design interventions, and evaluate alternative work practices and management approaches. Contributing to the development of evidence-based frameworks, models, and toolkits
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Description We are now looking to appoint a postdoc in Soft Electronics, placed at the Department of Science and Technology, Campus Norrköping Research area The Laboratory of Organic Electronics (LOE, https
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and AI methods for materials discovery. Design and implement active-learning workflows for autonomous exploration of materials spaces. Develop and evaluate generative AI models for inverse materials
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platform to identify and optimize therapeutic candidates. Our group specializes in developing technologies to assess the multicellular environment within three-dimensional microtumor models. The project
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, Strakosas et al., Science, 2023, https://doi.org/10.1126/science.adc9998 ). This position addresses the emerging opportunity to bridge conventional implantable devices with bio-integrated, in situ formed
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science with strong connections to engineering, natural sciences, and industry. About the research project The PRONTO project aims at modeling public transport networks with stochastic partial differential
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of the research field Critical Infrastructure Resilience Knowledge of Collaboration theories Ability to conduct social network analysis, statistical analysis of surveys, or modelling of critical infrastructures
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the aim of developing models, tools and competitive technological solutions to support the transition in sectors such as energy, transport and heavy industry. Within a scientifically excellent environment