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research in areas such as underwater robotics, medical image analysis, and artificial perception, aiming to develop innovative technologies with real-world impact and strong links to industry and society
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) participate in the monitoring at sea to acquire video and picture of the transplanted sites, (2) quantitatively analyse video to define species and functional diversity, species abundances and population size
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mandatory) skills Protein expression (bacterial and mammalian) and purification (affinity, size-exclusion, AKTA-assisted purification) Experience with mRNA sequencing and data analysis Live imaging
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well suited include soil science, agronomy, plant or environmental sciences. Experience in areas such as bioinformatics, image analysis, statistics, or modelling applied to plant-soil systems would be
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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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(including AFM, PFM); imaging of magnetic domains (MFM); analysis of bit states for probabilistic computing (Shannon entropy, bit error rate, unclonable functions, etc.); analysis of surfaces (XPS); experience
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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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studies, imaging techniques, biochemistry, gene expression analysis, experimental data analysis including multi-omics analyses, and the interpretation of statistical results. They will prepare integrated