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candidates with a strong interest in interdisciplinary research. Applicants should hold a master’s degree (or equivalent) in computer science, bioinformatics/ cheminformatics, AI/ML, data science, chemistry
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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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two workshops. Qualifications We are looking for an engineer or physicist with excellent academic records and who has ideally already demonstrated scientific achievements. We are interested in working
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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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redirected to an external site after 5 seconds) Save job Click to add the job to your shortlist Send job Job Details The SDU Adaptive Intelligence Lab (ADIN Lab) ( https://adinlab.github.io/ ) located
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), University of Southern Denmark in Odense, you will be part of the Robotic Intercropping ( https://roboticintercropping.eu ) team working to break new ground at the absolute forefront of what is possible in
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PhD Scholarships in Engineering of Quantum Light Sources and System Architecture for Photonic Qua...
engineering of system architecture for photonic quantum information technology. The position is offered within the framework of the EU Horizon Europe MSCA Doctoral Network “A Photonic Quantum Computer
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degree programs at Aarhus University, especially but not exclusively related to AI, https://digitalcurriculum.au.dk in collaboration with colleagues from CED and NAT Join as a co-teacher in a few of the
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Computer Science Ref number: 2026/958 Employment type: Full Time Apply Aalborg Deadline : 31.08.2026 Department: Department of Computer Science Ref number: 2026/958 Employment type: Full Time Apply Vacant