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in developing bioinformatics pipelines (Python/R/Bash) for genomic (NGS) and medical imaging data analysis, implementing artificial intelligence and deep learning techniques. - Experience in developing
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to the ERC-PoC project NOSHAKE (a New paradigm fOr forecaSting injection-induced eartHquAKEs), funded by the European Research Council (ERC, https://erc.europa.eu/ ). The candidate will perform her/his
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image
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, primarily functional Magnetic Resonance Imaging (fMRI), combined with behavioural, cognitive, and affective measures. The successful candidate will join an interdisciplinary research team working
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assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy fields. Part of the project will also include the development of deep learning frameworks for TEM image
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well as medical imaging tools such as itk-SNAP, LinkEHR, 3D Slicer, and Fiji. - Experience working in multidisciplinary teams and European projects, with strong skills in coordinating multidisciplinary teams