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delineation and improve the outcomes of SCC surgery. Job Responsibilities: As a PhD candidate, you'll focus on: Develop cutting-edge AI models: Train state-of-the-art deep learning models to segment SCC and
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Postdoc Impact of Computational Infrastructures on Public Institutions and Administration of Justice
public institutions in the justice sector. The project will seek to understand how software production -- the practices, economic models and material conditions necessary to deliver digital services
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Engineering » Process engineering Environmental science » Global change Environmental science » Natural resources management Researcher Profile Recognised Researcher (R2) Country Netherlands Application
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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research project “Uncovering the creative process: from Inception to Reception of translated content using machine translation” (INCREC), financed by an ERC Consolidator Grant and coordinated by
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, aiming to transform the care for patients with abdominal aortic aneurysms (AAA). You will develop and validate cutting-edge multimodal deep learning models that integrate imaging and clinical data
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well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge institutions, companies, social organisations and governments. Click here to go to the
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of resources in manufacturing. Vacancy number 15918 Key responsibilities As part of this Postdoc position, you will be contributing to ongoing research projects where data management, processing and aggregation
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of resources in manufacturing. Vacancy number 15918 Key responsibilities As part of this Postdoc position, you will be contributing to ongoing research projects where data management, processing and aggregation
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through the Internet of Things create new opportunities to incorporate real-time insights into decision-making, combining tractable modelling with provably efficient solution methods. As a postdoctoral