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enables the fabrication of spatially complex metal structures with features on the micron-scale. However, our capacity to intelligently design these surfaces is 2 limited, because the models that predict
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the use of (multi‑modal) Large Language Models (LLMs) and other AI techniques to support the automated generation and adaptation of DWIs from DPP data. This research will explicitly assess which types
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of Marine Technology at NTNU has a vacancy for a PhD Candidate in Deep Learning enhanced FSI modelling of Multi-modular Floating Structures. The position is part of the AIMOS project (Artificial Intelligence
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 23 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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theoretical modelling. The project will focus on self-learning active mechanical networks, but will be tailored to align with the interests and expertise of the successful candidate - we will mutually ensure
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provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Helena Maria de Oliveira Freitas Effective Members
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appreciated skills: - experience in conducting complex experimental work with Electric applications and/or Cryogenics, - numerical Modelling skills Where to apply Website https://emploi.cnrs.fr/Offres/Doctorant
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of the disease. A major constraint of most existing methods for cure models is the sufficient follow-up assumption, i.e. the study duration should be longer than the time span of possible events, which is rarely
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, matrix composition, and (anisotropic) matrix architecture are influenced by the mechanical and geometric properties of their environment. These computational models can provide crucial mechanistic insights
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integrating laboratory experiments, field observations, and theoretical modelling within an international, multidisciplinary research team. The successful candidate will investigate how the mechanical