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in relevant fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g
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fields and high-impact journals. The candidate should be proficient and experienced in studying ecology of fish in the wild. Analytical skills and experience with statistical software (e.g. R, MatLab
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-mode trap instruments supporting both collisional- and electron-based dissociation Contribute to spectral annotation workflows in collaboration with a computational postdoc Disseminate findings through
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working towards the chemical synthesis of defined oligosaccharides related to the plant cell wall glycan RG-II. We are looking for a creative mind with excellent practical lab skills to design and execute
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fundamental AI methods together with their software implementations for interpretable statistical fault prediction and lifetime assessment in the context of Structural Health Monitoring of operating wind
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well as experience with cryptographic engineering. Responsibilities and qualifications You will work alongside the 4 permanent researchers and currently 6 PhD students and 2 Postdocs in the Cryptography Group at DTU
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challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk). CLASSIQUE will address a
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climate adaptation measures. Emphasis will be placed on robustness and scalability of the modeling approaches. You will be part of a large global expert network under the IEA EBC Annex 96 - Grid Integrated
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). To achieve the goals, you will work in close collaboration with a group of experienced scientists, as well as Postdocs and PhDs all engaged in the Villum Investigator project MicroAM. As a key integration sub
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classical communication networks to support both traditional data and the unique requirements of quantum information systems (https://www.classique.aau.dk ). CLASSIQUE will address a suite of fresh research