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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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characterized despite their importance for scientific and technological applications. The Physics and Applications of Negative IONS (PANIONS) Doctoral Network aims at substantially advancing our understanding
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staff position within a Research Infrastructure? No Offer Description Background Information Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by the European Union
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Information Marie Skłodowska-Curie Doctoral Networks are joint research and training projects funded by the European Union. Funding is provided for doctoral candidates from both inside and outside Europe
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The Organic Photonics and Electronics Group at Umeå University, Sweden (www.opeg-umu.com ). The selected PhD student will be an active member of the European Marie Sklodowska-Curie Training Network
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for networking, and access to robust administrative and technical services—all within a setting that offers attractive employment conditions. To learn more about the department, please visit: https://www.umu.se/en
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on behavioural syndromes and social networks in dogs and to some extent wolves. The selected PhD student will work with large-scale behavioural data sets using a range of approaches, including heritability
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diverse community of individuals from a wide range of nationalities. As a PhD student with us, you benefit from comprehensive career development support, opportunities for networking, and access to robust
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, which is crucial for rutting, using machine learning. Second, we will develop new systems to integrate data from radar and lidar sensors mounted on drones and forestry machines to improve future real-time
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helping to build up an international research network and spending some time abroad at a relevant international university) Write single-authored and co-authored articles for publication in high-ranking