13 assistant-and-professor-and-computer-and-science-and-data PhD positions at Aalborg University in Denmark
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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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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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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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, 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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volatility. CLASSIQUE is organized into four Research Thrusts that rely upon interdisciplinary competences in: communication theory, networking, information theory, physics, mathematics, computer science, and
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Research, Computer Science, Mathematics, Applied Mathematics, or related fields. Proficiency in programming languages such as Python, R, or other programming languages. Familiarity with multi-agent systems
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projects is required. Qualifications The ideal candidate has: A strong background in manufacturing engineering, management engineering, operations management, robotics, industrial engineering, computer science
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, and material separation. Accordingly, the candidate is required to have an Engineering degree on master’s level within manufacturing engineering, automation, or computer science. Specifically, we look
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://www.isu.aau.dk/ and https://lifeindenmark.borger.dk/ You may obtain further information from Associate Professor Peter Fojan, Department of Material and Production, Phone: 99407481, Email: fp@mp.aau.dk
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. Documented experience with any project in the blue bioeconomy domain, with Life Cycle Assessment, and with programming for data science(R, python) will be considered a strong plus. Proficiency in English is a