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You will join PREFERENCE, an international Marie Skłodowska-Curie doctoral network dedicated to advancing large axial field of view (LAFOV) PET/CT imaging. PREFERENCE brings together 12 academic
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combine insights from both engineering and social sciences as well as the humanities. TPM develops robust models and designs, is internationally oriented and has an extensive network of knowledge
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further appears in the approximation of various dynamical problems by tensor networks and neural networks. In all these cases, the parametrization is typically irregular, meaning that the occurring linear
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of Oldenburg invites applications for a Doctoral Candidate position within the Marie Skłodowska-Curie Actions Doctoral Network ReDiLEEP. ReDiLEEP brings together leading universities, research institutes, and
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[Srdinsek2025], the sole structure of the tensor networks that could be “salvaged” was the canonical form that provided the ability to dynamically compress/decompress. During this PhD, we will develop more; we
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the cell response. A key innovation in this PhD project is to engineer environmentally (cell)-instructive hydrogels with controlled architecture (pore size, network interconnectivity) and mechanical
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migratory background might influence norms, beliefs, attitudes, behaviour and experience. It will investigate the social origin of norms, beliefs, attitudes and behaviour including the role of social networks
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interfacial phenomena. The project is part of the ERC Starting Grant EMBIOMO, which focuses on the dynamics of embolism propagation within leaf vascular networks and on the development of biomimetic models
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deliverables within the two parent projects. These tasks anchor the PhD in the day-to-day work of the consortia and provide direct access to the projects’ empirical material, tools, and networks. Within INFRA
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noisy, partially mediated observations. These models will incorporate biologically informed structure, including protein-protein interaction networks derived from data-driven sources such as protein