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As part of the Centre for Quantum Communication Networks and Applications, one PhD stipend is available at the Department of Mathematical Sciences. The position will be tied to a work package
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software solutions for identifying and compensating for errors in blood measurements. The work will be in collaboration with Roche Diagnostics International, a leading manufacturer of blood gas analyzers
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applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active role in transferring inventions and results into applications in
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compliance of the developed methods. There will also be interaction with the Novo Nordisk Foundation Data Science Infrastructure Programme, “the National Health Data Science Sandbox”, a network of data
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defining limit values suitable for use in LCA-based frameworks. The work may also address targets such as climate neutrality, net-zero, and regenerative performance, as well as methodological challenges
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software and are motivated to develop and apply dynamic models of energy and chemical processes. You are familiar with programming languages and computational tools. Expertise in a particular software
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can be used as a practical tool to identify and adjust recipes that, for a given machine and processing window, fulfil defined target criteria. Building on existing evidence that Machine Learning can
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model. The department leverages its unique research infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound
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, where you will present your research to the wider research community and build your professional network. Throughout the project you will work closely with your supervisors and colleagues in the research
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well as to broader audiences beyond academia. As part of their research training, PhD students should develop a clear and well-defined research profile that demonstrates academic maturity and the ability