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innovative employers in the region. With more than 6000 employees from 100 different countries, we are helping to build tomorrow's world every day. Through top scientific research, we push back boundaries and
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interpretable framework for probabilistic unsupervised learning for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured
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If you are eager to perform cutting-edge molecular modeling to accelerate the development of green and low-carbon hydrogen technologies, then this is position is for you. Job description You will
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the entire agricultural sector. Despite this importance, corrosion research remains dominated by case-specific studies and expert-driven intuition. This project aims to close that gap by generating, extracting
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Shape the future of cancer research with AI-Driven 3D spheroid model simulations! Join us! We are seeking a motivated PhD candidate to join our interdisciplinary team bridging experimental in vitro work
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, these flows remain poorly understood. As a result, even the most basic properties cannot be predicted reliably. For instance, the best available models over- or underestimate the measured pressure drop in a
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remains dominated by case-specific studies and expert-driven intuition. This project aims to close that gap by generating, extracting and measuring corrosion data into a unified knowledge base. On the
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of our PhD community. This is what you'll be doing You'll work on modelling and monitoring of pollinators in Dutch landscapes as part of an EU-funded Life project PolliNature. In this project, several
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-on-modelling-of-tu… Requirements Specific Requirements We seek candidates who are motivated by the proposed research, take initiative to develop ideas, are self-driven, and can work both independently and within
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PhD position on Modelling of turbidity current fluxes in submarine canyons Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline