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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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signal processing, with experience in machine learning, deep learning, or AI methods. Familiarity with semantic segmentation, anomaly detection, or pattern recognition techniques is highly valued. Sensor
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for physiological signal recording. An ability to work independently and collaboratively across disciplines will be essential. Excellent communication skills in English, both written and spoken, are required, and
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qualifications: M.Sc. degree in electrical engineering, communications engineering, mathematical engineering, mathematics, computer science or similar; Solid mathematical and analytical skills, including signal
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Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You can read more about the shortlisting and appointment process here
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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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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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language processing approaches to analyse large-scale textual data from scientific publications, patents, industry documents, and policy sources. The work includes creating reproducible workflows for processing