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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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). Software Architectures with a particular focus on Microservices and Distributed Systems Generative AI-driven Software Development and Maintenance Empirical Software Engineering Mining of Software
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to droughts and heatwaves, which in turn feedback to the distribution of species, modulating the long-term ecosystem resilience to environmental changes. In this framework, the objectives of your research
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experience with algorithms relevant to computational biology documented programming skills, e.g. in Python and R very good communication and organizational skills with the ability to work to timelines, both
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slicing. - Develop advanced AI/ML algorithms and data analytics techniques to automate and optimise exposure requests, adapted to available resources and real-time demand. - Propose and
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related to e-mobility (e.g., distributed generation, storage, electric vehicles, smart energy management systems, etc.) and how to design the right incentives for a welfare-maximizing e-mobility integration
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the development of both, the quantum internet and distributed quantum computing. The objectives of this PhD thesis project are: (a) Demonstrate spin-photon entanglement with single colour centres in silicon carbide