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Research Abstract: This project aims to address the challenges in robot inspection, which is one of the key applications in future robots. Often, as part of the inspection, robots collect various data
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research within offshore wind energy. The first 3 years the position are financed by the ERC Consolidator Grant project Data-Driven Approaches in Computational Mechanics for the Aerohydroelastic Analysis
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analysis. The candidate will work on developing the mathematical foundations of multiparameter persistent homology. The position is part of the VIDI Project “New Connections in Topological Data Analysis
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: Fast force volume SPM data interpretation for nano-mechanical and electrical analysis with known uncertainty The main objective of the work is to develop fast data processing methods for processing force
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factors are associated with ILI duration? Analysis methods: Descriptive statistics, trend analysis, and linear regression. Impact: This project will provide data on typical (and atypical) ILI duration and
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research in the broad field of computational methods for the built environment. Particular emphasis is placed on building information modelling, digital drawings, point cloud capturing and processing as
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examine the measurement properties of the tests and surveys to ensure they measure the constructs as intended and provide recommendations for improvement. Responsibilities include data analysis
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Apply Now Responsibilities* In the field of clinical pain research, design studies and projects to generate preliminary data and develop and implement Statistical Analysis Plans (SAP) for newly
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together with data from clinics, genomics, proteomics, and metabolomics. Our research group has developed several advanced methods for integrated analysis of the detailed image data and all other collected
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, environmental, energy, and material sciences. In this environment, we are a strongly mathematically oriented research group with a focus on the analysis of various problems in geophysics (in particular