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in all its dimensions. Your position The purpose of the scholarships is to support you during the starting phase of your doctorate. Within the first six months of your scholarship, you will prepare a
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electrical and structural mechanisms driving arrhythmia in individual patients. This project will develop a patient-specific cardiovascular digital twin to support the planning and optimisation of AF ablation
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and analysis of dedicated algorithms for training analog circuits directly from data. In this PhD project, you will develop a novel system-theoretic framework for learning in analog circuits and
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fellowship employment, your master’s degree must be equivalent to a Danish master’s degree. We encourage you to read more in the assessment database: https://ufm.dk/en/education/recognition-and-transparency
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of visual learning theory, the PhD student will develop methods for understandable latent representations and implicit neural models. For further details, see the ELLIIT project Learning Geometric
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estimated from observed data. The overall aim of the project is to develop statistical theory, methodology, and computational methods for such complex data problems, with a particular focus on models
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 16 days ago
University of Gothenburg can be found on the university's doctoral student pages. https://www.gu.se/en/doctoral-studies Duties The PhD education in Medical Science comprises carrying out a scientific project
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-intenSIve industries with REnewable synthetic fuels) is a Marie Skłodowska-Curie (MSCA) Doctoral Network, designed to train the next generation of specialists in e-fuel utilization. DESIRE will equip 15 PhD
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are still present. This PhD research aims to develop new and efficient AI-based solutions for processing LiDAR data (2D/raster and 3D/point clouds) and improve the detection of sub-canopy archaeological
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collaborate on the GENSCOPE project. Each PhD candidate will develop an independent doctoral dissertation with its own research questions, publications, and expertise, while collaborating with the other PhD