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Field
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Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and interpretable framework for tensor analysis. Specifically, the project will: Develop
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and other curricular merits will be assessed, as well as their suitability for the tasks to be performed according to their education and professional experience. Sub-criterion 1.b): Mobility and
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]. 3. Explore the diversity of signals and perform complementary experiments to finalize the training dataset [Month 6 – 12]. 4. Develop a data analysis process based on machine learning for multimodal
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based on scientific research at the intersection of the Humanities and Social Sciences. Our ambitious Dutch and international students are educated in a stimulating learning environment. Upon graduation
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material, and investigations will include, for example, characterizing novel patient derived cultures via various cell and molecular biological assays. Later, the modelling and therapeutical studies
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universities, industry, hospitals and research institutes to train 18 Doctoral Candidates (DCs) in a highly interdisciplinary and collaborative environment. About the ThromboRisk Network ThromboRisk is built
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Science Engineering have the opportunity to learn a broad spectrum of methods through laboratory rotation. This can help students gain experience in different research areas and develop new skills that may
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Umeå University is one of Sweden’s largest higher education institutions with over 41,500 students and about 4,600 employees. The University offers a diversity of high-quality education and world
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teacher education. Using Teach for All as a case-study, the project aims to better understand how and why education polices travel across time and space. While policy mobility is driven by a wide range of
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devices Develop hardware-aware machine learning models incorporating electronic and optical device constraints Design and implement hardware-efficient training methodologies for machine learning systems