41 parallel-computing-numerical-methods "Institute of Computer Science" PhD positions at Aalborg University
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and Science in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities and Certain Higher Artistic Educational Institutions
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type: Full Time Apply Aalborg Deadline : 25.11.2026 Department: Department of Chemistry and Bioscience Ref number: 2026/1193 Employment type: Full Time Apply At the Faculty of Engineering and Science
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forms of resistance, disengagement, and withdrawal from school life. Through ethnographic history interviews and related qualitative methods, the PhD fellow will explore how students experienced
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developing theoretical, algorithmic, and real-time implementation framework for on the fly autonomy of multi-robot control systems in uncertain and limited environments. In addition, methods will be
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. Your competencies Applicants must have a strong technical background, ideally in computer science, software engineering, human-computer interaction, Medialogy, AI, machine learning, or a related field
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, computer engineering, computer science, mathematical engineering, or similar. Proven track record in the Machine Learning, Artificial Intelligence, or Robotics, reflected through contributions to major
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intersection of polymer processing, materials science and Machine Learning to develop dynamic recipes for sustainable plastics. In a typical plastics production line, several types of materials are fed into
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PhD Scholarship in Implications of Artificial Intelligence and Digital Transformation for Education, Work and Professional Practices Apply Vacant position PhD Scholarship in Implications of
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Denmark Region, primarily using data from the NordEPJ EHR system. Your competencies We are looking for a candidate who has many of the following qualifications: • A background in computer science
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between the Department of Electronic Systems and the Department of Computer Science, at the Technical Faculty of IT and Design. The lab is part of a growing research environment broadly in the area of AI