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Vacancies PhD position on Dependability Driven on Device Learning Algorithms for Embedded Neuromorphic Architectures Key takeaways Edge devices that can learn autonomously while guaranteeing
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sand nourishment strategies in support of maintaining and shaping resilient, multifunctional coastal landscapes, particularly in the context of sea level rise. This PhD position will be embedded in
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experiment. This PhD position is embedded in the EU Horizon Europe Marie Sklodowska-Curie Doctoral Network (MSCA DN) SMARTTEST project. This position is based on Doctoral Candidate 8 (DC08). Check the website
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will be part of the inerview proces. About the department The PhD-candidate will work together with members of the Mesoscale Chemical Systems, and in collaboration with several academic and industrial
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funded by an M2 grant from NWO (the Dutch research council), and is a collaboration between the University of Twente (UT) and the Leiden University Medical Centre (LUMC). The grant funds two PhD students