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and elicitation of informed prior distributions; Critical assessment of default prior distributions; Organizing a many-statisticians challenge and workshop; Studying model-averaging, effect size
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modeling (DEM, FEM, BEM). Your job You will work on the project “FastSlip”. In this position, you will develop and utilise scale-bridging techniques to model and investigate fault slip in induced seismicity
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: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
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multimodal deep learning models that integrate imaging and clinical data to personalize treatment and follow-up strategies. In the Netherlands, around 75% of patients with an abdominal aortic aneurysm (AAA
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and (PBPK) modeling to understand the biological underpinnings will be used. You will work on a highly multidisciplinary project that aims at the development of ‘fit for purpose’ immune therapy PET
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reservoirs in terms of geology. Using advanced geological modelling and numerical simulation techniques, this position will investigate the geological controls on hydrogen storage in depleted natural gas
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conditions. To achieve this, the project explores advanced machine learning approaches, including surrogate modeling and reinforcement learning, to accelerate CFD optimization and enable adaptive control
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. Their European, American and native co-founders invented new models for fighting pandemics from below and stopping the diseases in their tracks. They continually strove to overcome the familiar barriers
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We are looking for a postdoctoral researcher with experience in generative AI, multimodal representation learning, and modelling face-to-face dialogues for our NWO-funded project “Grounded Gesture
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We are looking for a postdoctoral researcher with experience in generative AI, multimodal representation learning, and modelling face-to-face dialogues for our NWO-funded project “Grounded Gesture