38 condition-monitoring-machine-learning-"Multiple" Postdoctoral positions at Technical University of Denmark in Denmark
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Job Description Are you eager to contribute to an ambitious, high-impact project advancing sustainability through remanufacturing in a circular economy context? DTU is recruiting for multiple
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Job Description Are you eager to contribute to an ambitious, high-impact project advancing sustainability through remanufacturing in a circular economy context? DTU is recruiting for multiple
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simulations using, e.g., COMSOL, Lumerical, or other Maxwell solvers. Experience with machine learning algorithms is an advantage but not required. General qualifications Scientific production and research
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interest and documented skills and experience in using computer-based tools to analyse, simulate and predict capture performance of active and passive fishing gears. A track record of publishing in peer
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Job Description Are you passionate about leveraging IoT, machine learning, and optimization to make energy districts and communities more sustainable? We are looking for a highly motivated and
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Job Description These days, the inner workings of molecules and materials can be probed and modelled by advanced simulation tools on modern computer architectures. However, the routine applications
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Communication, Singal Processing, Low Power Electronics, Wireless Sensing, Low-Power System Design, Machine Learning & Edge Inference, Underwater acoustic communication. Furthermore, you have a proven record of
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Electrophysiological signal processing of, e.g., EEG, ECG, EMG, etc. Health data science, incl. modern machine, and deep learning methods, Cloud-based platforms like MS Azure or Google Colab Health data standards, like
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potential for exploiting temperature gradients for producing electricity and predict their long-term performance under real operating conditions. The project also includes modeling of heat transfer and
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right (offshore transport vs. onshore transport), in an experimental setting where the boundary conditions are fully known. The shortage of state-of-the-art models also means that the spreading