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Field
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–structure interaction influences the vulnerability or robustness of infrastructure. The candidate will investigate how soil stiffness, layering, and water saturation conditions modify the distribution
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diversity and welcomes applicants with varying backgrounds and experiences. We work actively to take advantage of the qualities that diversity and an even gender distribution contribute to our operations. We
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–structure interaction influences the vulnerability or robustness of infrastructure. The candidate will investigate how soil stiffness, layering, and water saturation conditions modify the distribution
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expression patterns, and examine epigenetic and structural signatures associated with genome dominance. Transposable element distribution and activity will also be analysed using long-read sequencing
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federated learning and multimodal deep learning models for healthcare. The project will focus on enabling privacy-preserving learning from distributed healthcare data sources, including longitudinal medical
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work duties and contribute to a positive work environment. We value the qualities that an even distribution of age and gender, as well as ethnic and cultural diversity, can contribute to the organisation
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of electrochemical performance, with a focus on ion distribution, transport, and degradation processes during battery operation. The project addresses key questions such as the formation of Li/Na
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Realities • Research Theme D: Adaptive and Distributed AI for Intelligent Realities • Research Theme E: Networking for Intelligent Realities This PhD research focuses on developing adaptive and distributed AI
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at different depths, while the distribution of mesozooplankton and marine snow are collected with nets and an underwater vision profiler (UVP6). We are looking for a highly motivated person who sees the benefit
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of biologically active effectors with potential theurapeutic potential. Dipeptides exhibit organ-specific distribution patterns across tissues. Dipeptide-based therapies are particularly attractive due