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Field
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source areas. With the shifting focus of policy from deposition to emissions (target management), a better understanding of the processes in source areas has become crucial. Moreover, understanding what
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Cell identity relies on correct gene expression, so the process of
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blood-related markers), —quantifiable indicators of physiological or pathological processes—offer a promising route for real-time physiological assessment. Advances in non-invasive sensing technologies
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specialization in Data Science (Bioinformatics, Computer Science, Data Science, Artificial Intelligence, Computational Biology) or Life Sciences with strong affinity to Data Science. Experience with different
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? The research project Ependymomas are brain tumors that primarily affect children. Despite intense treatments like surgery, radiation, and sometimes chemotherapy, the survival rates remain low because some cancer
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Mathematics (Inverse Problems), Computer Science (Machine Learning, Computer Vision, Efficient Algorithms and High-Performance Computing), and Physics (Image Formation Modelling). Your project is part of
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emerging as a promising paradigm to overcome bottlenecks in conventional computing, offering ultra-fast and low-energy information processing. Recent advances include both spiking and deep learning schemes
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on cell-state diversity within tumours. In parallel, you will collaborate closely with a postdoctoral researcher to develop and apply novel proximity-labelling strategies to chart dynamic protein–protein
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parameters based on paired visible-light and X-ray images. The developed techniques will be validated on real data. As a candidate, you must have a strong background in machine learning and computer vision, as
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single-cell proteomics approaches on patient samples to gain additional resolution on cell-state diversity within tumours. In parallel, you will collaborate closely with a postdoctoral researcher to