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under future climate and fishing scenarios. What are you going to do? You will develop stage‑structured population models for both species, explicitly including life‑history processes, sea‑ice dependence
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retrieve shapes, overlay errors, and other geometrical parameters of the target using methods ranging from local and global optimizers to priors and neural networks developed by partners in the project. Job
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improved using machine learning techniques. The developed techniques will be applied to metrology of semiconductor samples. Job requirements You are an enthusiastic candidates with a ‘drive’ for applied
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multidisciplinary consortium brings together academic medical centres, universities, healthcare organisations and industry partners to develop and implement innovative technologies for home-based healthcare and
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Are you fascinated by the quantum dynamics of electrons? Do you want to contribute to the development of a novel theoretical framework for accurately simulating how electrons respond to external
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at the intersection of wireless communications, networking, embedded systems, and satellite technologies. Your research will contribute to the development of reliable, resilient, and sustainable
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validation, digital twin frameworks are developed enabling a virtual assessment and optimisation of steel microstructures before they are produced. This programme is therefore essential for the future hydrogen
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sports and cultural activities at Radboud University as an employee. And, of course, we offer a good pension plan. We also give you plenty of room and responsibility to develop your talents and realise
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Listen Published Tuesday 1 Sep 2026 Deadline Sunday 20 Sep 2026 Work area Research, development, innovation Organisational unit Erasmus School of History, Culture and Communication (ESHCC) Salary
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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