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Field
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key regulators of inflammation and tissue remodeling in gut and skin diseases. • Apply and refine AI/ML methods, including deep learning, neural networks, and interpretable models (e.g., SHAP, BioMapAI
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, are seeking a highly motivated researcher to join our cutting-edge project on AI models development for individual identification of maculated animals with biologically guided generative deep neural networks
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an exciting PhD scholarship to tackle one of the most pressing environmental challenges—detecting methane emissions from space using advanced neural network technology. This unique opportunity is part of
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of neurodegenerative, neuroinflammatory and neurovascular diseases. You will lead the development and integration of neural network decoding strategies for Multi-Compartment Relaxometry (MCR) and Myelin Water Imaging
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advantage if you can provide a link to a code repository of a project where you are the main contributor.- Experience in implementing machine learning methodologies, specifically neural network-based methods
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systems (CDSSs), so that their use in the clinic can be subject to rigorous quality control and certification. In this position, you will work on exploring synergies between Bayesian networks and AutoML
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approach could resolve this issue and we could use obtain data-driven models using machine learning algorithms such as artificial neural networks, reinforcement learning, and deep learning. A typical caveat
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and living in the UK. Academic writing experience in English is a plus. Academic Background and Technical Skills Programming experience in artificial neural networks, deep learning, large models
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everyday life applications. More and more, we depend on neural networks to make even critical situations, such as control and motion planning for autonomous cars, and it is of primary importance to be able
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. The project is led by Heiko Schütt and will employ one PostDoc and one PhD student. About the role... You will develop new Bayesian methods to compare deep neural network and other artificial representations