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developed algorithms with the designed hardware in the best way. Document design specifications, and design trade-offs clearly. Qualifications Applicants should hold a PhD in electronics, computer engineering
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that also act as green energy producers driving the societal transition towards net zero. In this position, you will build on your expertise in IoT and low-power computer and communication systems to research
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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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of microbes in increasingly complex plant-associated microbial communities and environments. You will work closely with DTU teams in Discovery team to build robotics-assisted workflows, and with the DTU
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processing conditions, and minimizing environmental exposure during final application. The assessments are crucial for validating safer alternatives and sustainable process designs. Qualifications
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communication skills in English. The following qualifications are a plus: Experience in audio signal processing or speech processing. Experience in condition monitoring or predictive maintenance. Flexibility and
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project. Your profile We are looking for a highly motivated candidate with a background in machine/deep learning, and communication networks. The required qualifications include: PhD in computer engineering
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future inter-cooperations between local communities and national authorities. Requirements The successful candidate has a PhD in Arctic Climatology, Sea-Ice conditions, Anthropology or other similar fields
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Job Description The Department of Culture and Language at the University of Southern Denmark (SDU) invites applications for two postdoctoral positions (2 years, full-time), with the possibility