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biobanks in Europe, advanced ex vivo and in vitro models, and high-throughput screening platforms such as GLIOscreen®. The research takes place in a well-equipped laboratory environment (ML-1/ML-2
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for low-frequency railway vibrations—bridging experiments, modelling, and sustainable railway innovation. Interested? Job description TU Delft, in collaboration with ProRail and Cohere Consultants, invites
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Are you fascinated by a future where generative AI models fully comply with the specifications and the requirements of the systems that use them? We are excited to offer a postdoc position, which is
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develop and compare ex vivo model systems derived directly from patient tumor tissue and blood. These models will be evaluated in parallel with an upcoming clinical trial at our department testing
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(UvA) is recruiting a postdoctoral researcher in AI for fluid mechanics. This postdoc is part of an NWO-funded project on accelerating computational modelling of rarefied (i.e. highly dilute gases
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risk of cardiovascular disease. Your main tasks and responsibilities are: developing deep learning-based model for detection and quantification of coronary calcifications in contrast-enhanced CT images
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Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Join us at TU Delft to develop monitoring and modelling tools
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of floodplain channels and lakes). By combining field monitoring and numerical modelling approaches, we will assess how reactivated paleochannels, constructed floodplain systems, or other solutions can create
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, accessibility, emissions) with subjective responses (e.g., behavioural, emotional, cognitive). Analyse and model the data to explain patterns of preference, acceptance, and perceived fairness across diverse city
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and modelled. Your job The project aims to develop, implement and test a general model of memory that provides insight into how linguistic information is stored and retrieved, and how language use is