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microkinetic modelling or/and machine learning, especially in the area of polymer design, is valued. Experience with modelling macromolecular structures or/and predicting polymer material properties is highly
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: *Extensions of the eligibility period are possible based on documented absence for parental leave, long-term illness, military service or clinical training. Check the ERC Work Programme on the ERC website
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(including pig) and tissue fluent user of computer software (e.g., Microsoft 365, SPSS/Prism, EndNote,…) flexibility to learn new skills and develop novel approaches for analysis ability to work independently
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machine learning processing of the spectroscopic data • The optical design and development of novel custom spectroscopic sensors benefitting from freeform optics. • Integration of the in-situ
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-spectral microscopy framework that extracts meaningful spectral information from a single image, by combining innovative optical system design with learning-based data processing. The research aims
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at academic conferences and you will publish them in scientific journals. Education You will provide support with teaching and also teach high-quality academic classes yourself in Mathematics. Your teaching
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participate in international conferences and learn how to publish your research findings and communicate them to a broader audience in order to maximise their societal and economic impact. Within the Mobilise
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of Ukrainian and Swedish. At the same time you will test which computational models are most succesful in simulating this learning process. You will publish scientific articles related to the research project
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and stimulating research environment. You will have the opportunity to learn new techniques and skills and to develop yourself as an independent scientist in a high‑performing laboratory. You will be