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At the Technical Faculty of IT and Design, Department of Computer Science, one PhD stipend in quantum error correction codes and noise modelling is available within the general study programme
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practices and convert prototypes and ideas into efficient codes that benefit the wind energy community. The work involves five main areas of focus: Driving further development, testing and support of in-house
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coding practices for further control software development. We seek a candidate who will also contribute to advanced software engineering for our currently existing control software for state-of-the-art
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was established at the Department of Biomedicine at Aarhus University, with the aim to explore the interplay between genetics, epigenetics and non-coding RNAs in the development and progression of cancer. We have a
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include developing efficient code in Python and Julia to perform numerical optimization of control fields that govern the evolution of the photonic quantum information processor. This includes adaptation
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topics: Predictive Coding of Music, led by Peter Vuust (PI, Director) Multimodal Theme, led by Boris Kleber Music Interactions, led by Peter Keller Meaning of Music, led by Elvira Brattico (PI) and Morten
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designs, building effective and conceptual models to inform our theoretical understanding, and developing code and theory frameworks to address new topological phenomena. Depending on the project’s results
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new coding languages will be preferred. Proficiency with advanced statistical analysis techniques, demonstrated through mastery of one or more of complex modelling techniques (e.g., multilevel models
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doubts about the quality of the code produced. If you want to investigate the effect that adoption of GenAI has on software development, as well as building tools for mitigating the risks, verifying