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) the development of a holistic multi-hazard risk framework capturing cascading effects across systems and scales; (2) the creation of digital environments utilizing real-time data for dynamic risk evaluation; (3
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Vacancies PhD Position SPINES: Modelling Tipping Dynamics in Infrastructure Use Key takeaways There is an increasing demand for infrastructure services while, at the same time, infrastructure
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Postdoc: Geospatial AI Modelling & Uncertainty Quantification of Carbon Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 32 to 40 Application deadline
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Postdoc in modelling Greenland and Himalaya precipitation using machine learning Faculty: Faculty of Science Department: Department of Physics Hours per week: 36 to 40 Application deadline: 31
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Are you excited about applying AI to solve real clinical challenges? As a postdoctoral researcher in the Mathematics of Imaging & AI (MIA) chair, you will join the ZonMW-funded AI for EVAR project, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop...
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/jobs/354460/postdoc-mosquito-behavior-and-v… Requirements Specific Requirements We are looking for a postdoctoral researcher with a strong interest in mosquito behavior and malaria epidemiology. You have
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In this role, you will be responsible of developing cutting-edge deep learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will contribute to the...
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with researchers from climate physics, hydrology, sustainability science and complex systems dynamics and apply a range of different models. Starting from the recent AMOC tipping simulations performed
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yourself professionally and explore future career options. The Department of Ecology is a dynamic, collaborative and interdisciplinary team. We are a young and ambitious group of ecologists committed
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Vacancies Postdoc position in Intelligent, Acoustics-Based Diagnostics for High-Tech Systems Key takeaways The Dynamics based Maintenance group, Faculty of Engineering Technology at the University