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for interoperable messaging that inform future innovations and policy Applicants must have a Master’s degree in computer science, human-computer interaction, or a closely related field. Due to the project's focus
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optimization for noise models. - Comparison of optimization strategies. - Process calculi and rewriting systems. - Formal verification of quantum error correction codes and quantum noise models, by use of proof
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. Ground-truth data will be collected to evaluate detection performance under real-world conditions. The candidate will contribute to experimental planning, sensor calibration, and post-processing of field
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. Your competencies Prospective applicants should have the following qualifications: M.Sc. degree in wireless communications, communications engineering, computer engineering or similar; solid mathematical
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committee, will select the applicants to be assessed. All applicants will be informed whether they have been shortlisted for assessment or not. The hiring process at Aalborg University may include a risk
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for assessment or not. The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires, ensuring the safety, compliance, and integrity
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disease as well. Description of the candidate: The successful candidate is expected to hold: A master degree in biomedical engineering or equivalent. Excellent programming and signal processing skills
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include developing modeling frameworks and enablers to deal with potential incumbents that may interfere with 6G operation in such bands, as well as understanding regulations for upper-6GHz spectrum in
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well as practical issues concerning the application procedure contact Ms. Annemarie Davidsen, the Doctoral School at The Technical Faculty of IT and Design, email: ada@adm.aau.dk . Read more about The Technical
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applicants will be informed whether they have been shortlisted for assessment or not. The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated