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into two main areas: (1) material development and characterization to ensure optimal sensing and mechanical performance, and (2) structural evaluation of SS-FRCMs under environmental stressors such as freeze
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generalized, cross-layer defense framework that integrates network-level mitigation and application-level optimization to comprehensively protect distributed AI training from network threats while maintaining
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public procurement. This research addresses a broad set of topics including optimal taxation and public expenditure, income formation, household responses to taxation and other economic policies, social
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KAU whose mission is to optimize the circularity of bioeconomy); contribute to teaching and education in degree programs and to develop your own pedagogical competence; contribute to the ongoing
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research questions. This postdoctoral scholarship offers the opportunity to be a part of this AI revolution by developing novel neural network architectures specifically optimized for plant genomic data. Our
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on how your research can be further developed into innovations. You are interested in driving the integration of methods in artificial intelligence (AI) and machine learning (ML) to improve and optimize
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and development centre – an excellent infrastructure to develop and optimize membrane processes from lab to pilot scale. The project is part of COMPEL. COMPEL, "COMPetence for the ELectrification
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having resided in the country of the host institution for more than 12 months in the last 36 months). Mandatory: Master’s degree in Systems Engineering, Control, Optimization, or related field. Strong