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to regulatory genomics, as part of the GRASP project funded by the Independent Research Fund Denmark. In this project, you will leverage new training sets, build novel deep learning architectures and define
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internationally and aim to provide a supportive environment in which postdoctoral researchers can develop both technically and scientifically. More information about our research can be found at: https://in.ku.dk
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with its grounding in cognitive theory. The position suits candidates with a PhD in Human-Computer Interaction or a related field who enjoy making empirical, methodological, and technical contributions
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reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration, experimental testing, or hardware-in-the-loop
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-Chem • You will be contributing to the development of machine learning models used on data from Poleno Jupiters, applying Python and machine learning. • The position will focus on implementing
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of electrolyzer technologies, digital twins, model order reduction, system identification, power electronics, model predictive control, multi-objective optimization, machine learning, renewable-energy integration
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of Health Science and Technology, one or more PhD stipends in Unsupervised Learning for Medical Image Analysis are available for appointment from November 1, 2026, or as soon as possible thereafter
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) Positions PhD Positions Application Deadline 4 Sep 2026 - 23:59 (Europe/Copenhagen) Country Denmark Type of Contract Permanent Job Status Full-time Hours Per Week 37 Offer Starting Date 27 Apr 2027 Is the job
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/linguistically-motivated-language-model-security/ , and an Erasmus+ project on AI-based Personal Language Learning Assistants in collaboration with VSKDansk https://www.brondby.dk/om-kommunen/nyheder/2025/08
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an international research environment spanning communication theory, networking, information theory, sensing, machine learning, and robotics. Qualification requirements PhD stipends are allocated to individuals who