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Job Description If you are motivated to guide innovation by developing new biobased processes able to contribute to a greener and more sustainable future, this is the perfect position for you. We
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chemical–biological pathway. The advertised positions will support these efforts through research on advanced carbon capture methods, process modelling and optimization, and biological CO2 valorization in
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combination of classical signal processing methods with state-of-the-art machine learning techniques, and you will thus find yourself in the intersection between emerging research domains and innovations, where
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desirable that the candidates have strong knowledge in at least one of the following research directions: 1) array signal processing 2) Radio channel sounding, estimation, and modelling 3) Integration design
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microscope (HS-DAFM) control software and signal processing circuits. These systems are critical for capturing high-quality nanotexture images from skin samples collected across five countries and four
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technology and innovation. Our research covers a wide range of areas, including photonics, electronics, signal processing, and communications. The Integrated Photonics group works on developing advanced
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the molecular-genetic foundation for how microbial physiology is shaped by fermentation and formulation processes—and how those processes, in turn, affect the application efficacy of microbial products
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across disciplines. Our Research The Gerhart-Hines Group is broadly interested in how neuronal, hormonal, nutrient, and bioenergetic signalling pathways collectively orchestrate systemic energy
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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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-economic losses and damages. However, there is a point at which the additional improvements in human and ecological capital that more adaptation would bring may not be worth the additional investment. Stated