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Field
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to be fast in practice, but the framework of worst-case analysis is unable to explain this observation. Different analysis frameworks have been proposed to explain the good performance of the algorithm
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innovation, and looking to make a difference. If this sounds like you, you've come to the right place! Responsibilities: Conduct original research on joint communications and radar sensing for spaceborne
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of privacy-preserving artificial intelligence for the benefit of humanity. What You Will Do: Research (Federated Continual Learning): You will develop novel and privacy-preserving algorithms that allow
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, develop, and implement state-of-the-art post-quantum cryptographic protocols and algorithms. Collaborate closely with top-tier European universities and industrial partners. Participate in project
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) region, and on synergetic approaches that can extract optimised information from different investigative methodologies. Research will be in liaison with the objectives of the Dust-DN project. Position
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. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model for diagnosis and prognosis of different sarcomas. He/she will develop and train
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be working primarily with scientific machine learning methods, including symbolic regression and neural networks. You will apply the algorithms to the discovery of new models in different fields
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and development of associated sensing and estimation algorithms Path planning based on medical imaging data (e.g., MRI, CT, angiography) Development of AI-based control methods for continuum robots
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will develop novel and privacy-preserving algorithms that allow distributed devices (smartphones, wearables) to learn from new data streams over time (Continual Learning) while collaborating globally
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systems. Responsibilities include: Integration of advanced sensing technologies with continuum robotic systems and development of associated sensing and estimation algorithms Path planning based on medical