239 machine-learning "https:" "https:" "https:" "https:" "https:" "U.S" uni jobs in Denmark
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flexibility orchestration Scalable data and machine learning pipelines Digital twin architectures for cyber-physical energy systems AI-based energy system modeling, simulation, and optimization Secure and
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, including artificial intelligence (AI), machine learning, internet of things (IoT), chip design, cybersecurity, human-computer interaction, social networks, fairness, and data ethics. Our research is rooted
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-robotics-and-engineering and the Center for Rehabilitation Robotics: https://vbn.aau.dk/da/organisations/center-for-rehabilitation-robotics It is expected that the candidate will learn/master Danish at a
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professor should indicate scientific highlights), H-index and ORCID (see http://orcid.org/ ) Teaching portfolio including documentation of teaching experience Academic Diplomas (MSc/PhD) You can learn more
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management and visions for teaching and learning will be evaluated. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are
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management and visions for teaching and learning will be evaluated. DTU employs two working languages: Danish and English. You are expected to be fluent in at least one of these languages, and in time are
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industry will be preferred. Research disciplines relevant to the position include: Mechanical Engineering Operations Management Supply Chain Management Candidates are expected to teach and supervise students
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Tech is seeking a knowledgeable and motivated part-time lecturer to teach and guide students in 22179 Module 3: Value creation in pharma- and biotechnology. The course focuses on how new discoveries and
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Application deadline March 15, 2026, at 2359 hrs. CET Apply online https://fa-eosd-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1001/jobs/preview/3666/?lastSelectedFacet=CATEGORIES
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At the Faculty of Engineering and Science, Department of Materials and Production a position as PhD in Learning Strategies for Data Driven Process Control is open for appointment from 1.02.2026