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coupling where applicable. The present post-doc position will contribute and lead research in relation to the development and validation of techno-economic performance models for the design and operation of
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energy community deployment. The researcher will lead activities related to time-resolved energy systems modelling, optimisation, and digital twin development for pilot sites, including scenario-based
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contributing to all parts of the research process. In this position, you will primarily be responsible for planning, collecting and processing data material, analysing, reporting and disseminating the findings
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–environment systems. A central component of the project is the development of next-generation process-based eco-epidemiological models that explicitly integrate environmental variability, ecological
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, leading and contributing to all parts of the research process. In this position, you will primarily be responsible for planning, collecting and processing data material, analysing, reporting and
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environment where you get an opportunity to contribute to high-quality research at the highest international level. Your mission As a postdoc in the group, you will lead one of two new projects, both of which
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are mandatory: A doctoral degree or an equivalent foreign degree in chemistry, physics or engineering. This eligibility requirement must be met no later than the time the employment decision is made . Strong
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group – lead by professor Sophia Zackrisson – with a main research interest in innovative imaging modalities and methods in breast cancer diagnostics, focusing on screening and the role of Artificial
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primary responsibility will be to carry out data collection and analysis in close collaboration with the researchers on the project. You key responsibilities include: Co-lead longitudinal data collection
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phenotypes. Curate, document and analyse large, multi‑omic datasets; ensure reproducibility and FAIR data stewardship. Lead manuscript preparation for high‑impact journals; present at internal seminars and