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research on AI-driven form finding of structural surfaces under extreme loading. The research will be conducted under the direction of Professor Sigrid Adriaenssens in a team. Candidates with a strong
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practice-oriented monitoring system, as well as collecting and analysing qualitative data within the EvaCQ project. This project aims to scientifically accompany and evaluate the structural and conceptual
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the aim of developing innovative strategies to improve human health. HT is composed of five Centres: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centres
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and whole-heart Langendorff perfusion or ECG telemetry. The project involves testing a novel hypothesis that structural integrity alone is sufficient to protect against arrhythmogenic conduction slowing
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structure of a host. Even at minute quantities, this can significantly alter the properties of crystals. Although solid solutions in metals and inorganic materials are well-studied, little is known about
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fundamental scientific challenges, including global cloud distributions, cloud microphysical properties and processes, dust aerosol distributions and impacts, and atmospheric boundary layer (ABL) structure and
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degree in engineering, mathematics, or a related field, with a strong background in prognostics and health management (PHM) for engineering systems and structures, as well as expertise in machine learning
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research funding than all other New Jersey universities and colleges combined. Rutgers manages Protein Data Bank (PDB), the global archive of 3D structure data for large biological molecules (proteins, DNA
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. Your work may involve formulating new models, analysing structural properties, and developing innovative algorithms with both theoretical rigor and practical relevance.
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and reports Organization of documentation Mathematical modeling of visual defects in aeronautical structures Design of embedded sensors in structures Study of thermo-mechanical phenomena Preparation and