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algorithms. Graph Neural Networks. The candidate is expected to hold a relevant MSc degree in Computer Science, Data Science, Physics, (Applied) Mathematics, Computational Statistics or another field
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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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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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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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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
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Luca emanuela.luca@uni-tuebingen.de Online Application to Frau Dr. Emanuela de Luca Index number: 6680 IMPORTANT: Please make sure that you follow the detailed application instructions Application
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Excellent possibilities for career development Active participation in conferences For inquiries, please contact: Dr. Thorsten Eierhoff, eierhoft@uni-muenster.de Apply now via our career portal until
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Employee events (events for networking and celebrating as well as specialist presentations) Accessibility and commitment to diversity and inclusion The minimum monthly salary for this position (Uni-KV