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conferences and journals within machine learning and computer science. Your competencies M.sc in computer science, artificial intelligence, statistics, data science, or a closely related field. At least basic
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Foundation Data Science Collaborative Programme, “Synthetic health data: ethical development and deployment via deep learning approaches (SE3D),” which is a cross-disciplinary collaboration between Aalborg
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Program, which is a collaboration between Danish Universities and the University of Chinese Academy Sciences (UCAS). The PhD student gets a unique opportunity to obtain a double PhD degree from both Aalborg
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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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Aalborg University’s Department of Computer Science in Copenhagen invites applications for a PhD stipend within the Innovation Fund Denmark Grand Solutions project “AI4SE1DK – Human-Centered
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collaboration partners. A shared office for you to focus your research activities. Computer and other practical office necessities. Access to well-equipped laboratories. Guidance on re-location to Aalborg
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within the general study program “Electrical and Electronic Engineering”. The stipend is open for appointment from 1 August 2025, or as soon as possible thereafter. The duration of the position is three
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, with Life Cycle Assessment, and with programming for data science (R, python) will be considered a strong plus. Proficiency in English is a requirement, knowledge of Danish is an advantage. To apply
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At the Faculty of Engineering and Science, Department of Materials and Production one or more PhD stipends is available within the doctoral programme Materials Science, Mechanical and Manufacturing
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volatility. CLASSIQUE is organized into four Research Thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and