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, undergraduate and postgraduate education in communications engineering, statistical signal processing, network science, and decentralized machine learning. Welcome to read more about us at: https://liu.se/en
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description This project is part of the EU-funded “Print4Life” Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader at Uppsala University. This network has 8 doctoral candidate host
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convolutional neural networks by exploring transformers, implicit neural representations (INRs), and hybrid architectures that integrate physical priors such as periodicity, symmetry, and long-range correlations
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enabling a wide range of robotic applications. As a PhD student, you will receive academic and pedagogical training and become part of a dynamic, international research community and network. This project
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-equipped laboratory facilities for research and an excellent inter-disciplinary academic network in Sweden and abroad. Subject description Machine learning focuses on computational methods by which computer
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not more than 20 per cent of full working hours (Higher Education Ordinance, Chapter 5, Section 2). The intended degree is a Doctor of Philosophy, which corresponds to four years of full-time
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hours (Higher Education Ordinance, Chapter 5, Section 2). The intended degree is a Doctor of Philosophy, which corresponds to four years of full-time postgraduate education. Qualification To be admitted
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biomedicine. Read more about the Department here Project description This project is part of the EU-funded Print4Life , a Marie Sklodowska-Curie (MSCA) doctoral network led by Prof. Persson, group leader
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This doctoral project investigates how individuals and communities in Central Asia pursue justice and rights outside formal legal channels and institutions, using informal negotiations and everyday social
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, pharmaceutical science, biochemistry and chemistry. The department is seeking an outstanding doctoral student in chemistry to participate in the Marie Sklodowska-Curie Doctoral Network MIPrecise . Field of subject