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) and experience in data analysis and computational methods. Familiarity with molecular biology techniques. Excellent written and spoken English skills. Ability to work effectively in a collaborative
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, motion tracking, elastography, and biomechanical analysis of aneurysms, with the goal of improving patient-specific rupture risk assessment beyond traditional diameter-based metrics. Your work will be
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assurance, requirements analysis, and software testing. Publishing research results at leading conferences and in peer-reviewed journals in the fields of software engineering and artificial intelligence
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structural systems and ULS / SLS design concepts Experience in structural dynamics and/or vibration analysis is an added asset Familiarity with finite element modelling (e.g. ABAQUS) and probabilistic methods
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, and how strain rate influences material behaviour. The resulting experimental data will be used to validate numerical models and contribute to certification by analysis of future composite structures
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of surface water, groundwater, and probabilistic seepage analysis, together with modelling and uncertainty assessment techniques. Consideration of these interacting processes may help improve the accuracy and
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the analysis of large-scale omics data (e.g., proteomics, metabolomics, transcriptomics), including basic programming skills in R and/or Python Documented experience with exercise testing (e.g., testing
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detection, real-time data analysis and/or predictive modelling, particularly for dynamic and safety-critical environments. Interest in AI sustainability, including resource efficiency, scalability
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PhD in Advanced Testing, Modelling, and Simulation of Composite Materials under High Velocity Impact
positions for general criteria for the position. Preferred selection criteria Experience in solid mechanics and non-linear finite element analysis. Experience in optical measurements related to experimental
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CAD tools Finite-element analysis and simulation Rapid prototyping and additive manufacturing Signal processing and data analytics, control systems Machine learning or computer vision Product