88 machine-learning-"https:"-"https:"-"https:"-"Computer-Vision-Center" PhD positions in Denmark
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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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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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-objective optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop implementation would be an advantage. You are not expected to have expertise in
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or a related field, with an interest in AI, machine learning, and NLP. • Experience or education in health data science or a health-related field is a plus. • Strong programming skills in Python
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integration). Perception and machine learning for robotics. Software design and development (C, C++, Python), including real-time and embedded systems. UAS operations (experiments, piloting). We
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, Human-Computer Interaction, IT Product Development) or alternatively a master level in Educational Sciences, Learning Sciences, Psychology or Cognitive Science with a clear natural science
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development Machine learning for material assessment and property prediction Finite element modelling, structural optimisation and experimental validation Fabrication and testing of full scale
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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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PhD Position in Reversible Programming for Energy Efficient Cyber-Physical Systems (MSCA Doctoral...
automatically redirected to an external site after 5 seconds) Save job Click to add the job to your shortlist Send job Job Details Job Description The SDU Drone Center, part of the Maersk Mc-Kinney
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to Danish data sources (e.g., registry data, surveys, and organisations). Your competencies Digital methods such as machine learning based classification, computational text analysis, network