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? Then consider advancing these theories with us. In this project, we aim to extend the powerful tools of statistical mechanics on graph and network models to broader applications in soft and active
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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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procedures to be applied to RNPU networks in combination with memristive materials and applying the theoretical hysteron concept. Information and application Are you interested in this position? Please send
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AI models for network operations. This project is a joint effort between the University of Twente and TU Delft. You will be co-supervised by Associate Prof. Pedro P. Vergara from TU Delft and
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evidence-based. Clients include private and public sector parties as well as NGOs; Leading the acquisition of new applied research projects based on your active network in agricultural development and
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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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climate buffers and their contribution to multi-functional landscapes. More specifically, the PhD project will focus on the following research questions: Do freshwater wetlands contribute to net
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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