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PhD Research Fellowship in Digital Culture with the Center for Digital Narrative Apply for this job See advertisement UiB - Knowledge that shapes society Through robust and close interaction with
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. The project seeks to develop mathematical models for allocation of critical resources during pandemics. Populating these instances with real-world data we would then develop novel algorithms to solve them
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 8 days ago
Mecânica e Engenharia Industrial announces an open call for an open call for a PhD student in the scope of the Programme - COMPETE2030-FEDER-00631200 – 00631200/14617- LMMCODSS - Sistema de Apoio à decisão
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of Finland under the supervision of Academy Research Fellow Marcelo Hartmann and Research Fellow Luu Hoang Phuc Hau (Nanyang Technological University) . We have been developing computational algorithms and
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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Do you dream of studying or doing research in the United States? The Belgian American Educational Foundation offers scholarships for study/research at top universities in the US. Moreover, a prestigious BAEF scholarship can make the difference in your future career. The scholarships are open to...
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PostDoctoral Research Fellow and PHD positions - Global Pediatric Digital Health (Child Health, Epidemiology, data science, and/or digital health) SUMMARY We are seeking applications for a 2
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The ideal candidate will have a PhD in a relevant subject such as statistics, mathematics, physics, operations research, computer science or data science, and have a strong statistics background
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, train, and validate advanced computational models and machine learning algorithms tailored to complex datasets. Collaborate with multidisciplinary teams including biologists, engineers, and clinicians
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems