43 software-defined-networking-"IMEC" PhD positions at University of Groningen in Netherlands
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. Process driven research activities are performed in the field of chemical and biochemical systems, mechanical and electric systems and system networks. Typical product sectors include biobased products
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(the Netherlands) The PhD Project The defining core of the project is the requirement to include the archaeological record of the southeastern part of the province of Friesland (the Netherlands) – a landscape that
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spectroscopy data and AI, to automatically identify textile fabrics with high accuracy in real-world sorting conditions by (1) defining optimal spectral bands, spatial resolution, and acquisition speed; (2
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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Doctoral Network addresses these challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability. As part of
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offering high-quality teaching and research. Belonging to the best research universities of Europe and joining forces with prestigious partner universities and networks, the University of Groningen is truly
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and networks worldwide to become a truly global centre of knowledge. This 4-year PhD position is embedded in the Artificial Intelligence department at the Faculty of Science and Engineering and in
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-Sklodowska-Curie Doctoral Network CATALOOP (https://www.tu-chemnitz.de/cataloop/ ). This network aims at the development of powerful and readily applicable workflows for data-driven development