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revolutionize communication systems for the quantum age. As quantum technologies rapidly advance, CLASSIQUE focuses on a critical challenge: how to evolve classical communication networks to support both
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, you will be investigating if the current metrics for accessing code quality are valid, and then you will be improving them using programming language techniques. Your goal will be to measure the effect
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experience with statistical tools (e.g. in R, MatLab, or Python) are expected. The team at DTU Aqua is highly international and knowing the Danish language is not needed. You must be available for boat-based
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learning approaches and develop a theoretical understanding potentially based on differential geometry. In particular, deep neural networks perform surprisingly well on unseen data, a phenomenon known as
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research environment with close interaction between experimental and theoretical activities. You will join a thriving community of researchers and benefit from a strong network of international collaborators
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. Finally, the candidate is expected to some degree to engage in teaching and supervision and the post may also include performance of other duties. The candidate is expected to be enthusiastic about working
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communication skills and willingness to work independently as well as to collaborate with your colleagues and peers. Commitment to complete the PhD coursework (30 ECTS points) and contribute to teaching
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with strong interconnection between experimental and theoretical physics. We provide a large network of collaborators to develop ideas and new projects. Excellent experimental research infrastructure
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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. Opportunities to participate in conferences, symposia, and networking events to share and enhance your research. Your role will be pivotal in driving AI innovation and contributing to a transformative approach to