66 engineering-engineering-"https:" "https:" "https:" "https:" "https:" "Computer Vision Center" PhD positions in Denmark
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qualified candidates for the position. The Center for Visualizing Catalytic Processes (VISION) is funded by the Danish National Research Foundation and located at DTU Physics. VISION is developing and
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DTU Tenure Track Assistant Professor in Surface Physics and Catalysis for Sustainable Energy Solu...
less categories Discipline Chemistry , Engineering , Physics Job Type Faculty Member Employment - Hours Full time Duration Permanent Qualification PhD Sector Academia Apply on website (This will open in
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DTU Physics invites applications for a position as Full Professor in Quantum Technology based on ...
collaborative quantum research environment at DTU Physics. The position is based in the Quantum Physics and Information Technology section and at bigQ – Center for Macroscopic Quantum States, a Danish
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organizational theory, the learning sciences, digital transformation, digital technologies, human-computer interaction, and related fields. Within the specific field, the PhD student will engage in both
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both the communications and AI communities. Your competencies We are looking for a candidate with a Master's degree in electrical engineering, computer engineering, computer science, data
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focus on leading Human-Computer Interaction venues. For further information about the project, see: https://dff.dk/en/our-funded-projects/meet-the-researchers/research-leaders/eksterne-personer-en
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the department include BSc and MSc degrees in Computer Science, a BSc degree in Artificial Intelligence, and an MSc degree in Data Science. For more information: https://www.sdu.dk/da/om-sdu/job-sdu
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computational design, construction robotics, and material innovation. SDU CREATE brings together an international research team working across architectural engineering, computer science, robotics
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degree Programming skills (Python) and experience with common machine learning platforms Experience with deep learning, computer vision, medical image analysis or unsupervised learning is an advantage
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time of enrolment. Relevant academic backgrounds may include engineering, industrial ecology, sustainability science, resource management, data science, computer science, applied mathematics