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Science, Aarhus University (AU FOOD). AU FOOD is in possession of the most advanced analytical research infrastructure, with well-integrated, high-tech prototype facilities. This world-leading
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immediate biomedical relevance Access state-of-the-art labs and infrastructure at DTU Health Tech Collaborate with an interdisciplinary team of chemists, engineers and biologists Develop your academic career
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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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Job Description The Section of Bioinformatics, DTU Health Tech is world leading within Immunoinformatics and Machine-Learning. Currently, we, together with Lonza Cambridge, UK, are seeking a highly
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possession of the most advanced analytical research infrastructure, with well-integrated, high-tech prototype facilities. This world-leading infrastructure, will be available to underpin the proposed project
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Embedded AI, Edge AI, TinyML, and AIoT, that can be documented by a publication record in relevant venues. Solid understanding of state-of-the-art embedded machine learning techniques. Experience in system
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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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opportunities, and proposal development. You can learn more about ESE and the future faculty positions here . If you are applying from abroad, you may find useful information on working in Denmark and at DTU