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developing intelligent algorithms that can support repair and remanufacturing decisions for sustainable manufacturing? As a PhD researcher, you will create innovative machine learning solutions to optimize
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you have a background in deep learning and computer vision? Are you
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opportunities for collaboration with others and learning about a wide variety of topics in quantum computing and quantum information theory. What are you going to do? You are expected to: carry out original
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first line treatments for OSA, and works by delivering pressurized air to keep the airway open. Traditionally, titration of optimal PAP parameters was done in sleep labs, but home titration using auto
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explore how artificial intelligence can be used to predict the response to therapy in cases of acute rejection of the kidney graft. Using machine-learning techniques, you will assess kidney transplant
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with disabilities through inclusive Human-Computer Interaction (HCI) and participatory design methods. This PhD project will focus on methods and experiences in co-designing with stakeholders, especially
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prototypes with field tests, and (3) unravel the optimal mimic size for contrasting ecological settings in field experiments. Both PhD candidates will closely work together, and with a post-doc that will
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each other. This necessitates a multidisciplinary approach bringing together optimization, machine learning and behavioral modeling methodologies. In FlexMobility we propose a holistic approach to design
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machine learning solutions to optimize the component lifecycle directly contributing to a more circular economy. Information In the manufacturing landscape, determining whether a component should be
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in Computer Science, Artificial Intelligence, or related field. Solid programming and development skills (Python, Git, Bash). Experience with machine learning (e.g PyTorch/TensorFlow). Strong interest