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methods tailored to ILC. The PhD researcher will fine-tune and benchmark pathology foundation models using multi-site H&E and immunohistochemistry whole-slide images. The aim is to learn representations
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different dyadic motor coordination tasks. A range of neurophysiological measures (EEG, ECG and fNIRS) as well as behavioural measures will be recorded simultaneously from both partners. Machine-learning
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flood risks. In addition, you will develop methods that use AI to produce rapid damage estimates for financial institutions in the event of an impending flood. About FIRM Flood Insurance and Risk
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these enriched datasets to assess the future insurability of flood risks. In addition, you will develop methods that use AI to produce rapid damage estimates for financial institutions in the event of an impending
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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automatic detection, segmentation and classification of sub-canopy archaeological features such as earthworks, burial mounds, walls, etc. – Investigation of interpretable/explainable AI methods, supporting
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) these effects can contribute significantly to local dynamics and their contributions are often under-estimated using global models. Previous work has shown that ionospheric mesoscale flows vary at different
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Vacancies PhD position on hermetic packaging of microfluidic sensor chips without glue or elastomers for ventilators and multi-infusion systems Key takeaways In medical equipment, many different gas
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29 Aug 2026 Job Information Organisation/Company ARCNL Research Field Engineering » Computer engineering Engineering » Precision engineering Physics » Computational physics Physics » Metrology
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electronic test and measurement equipment, investigation of transient electrical behaviour, comparison of different device designs and fabrication variants, and support for the evaluation of device performance