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. Developing software tools compatible for integrated use with popular data analysis packages, to be made available for public distribution. Eligibility Essential: Relevant Master’s degree (see notes below) in
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background in the analysis of partial differential equations. The project will be supervised by Dr Stefanie Sonner, is funded by an NWO-M1 project and has a light teaching load (10%). As a PhD candidate, you
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using X-ray and neutron scattering. One of the research areas is the development of machine learning (ML) based approaches to efficient analysis of the vast data amounts generated in the scattering
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screening, obtaining informed consent, data collection and management, data analysis, research website and social media management, Institutional Review Board (IRB) protocol maintenance, and other research
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operated and autonomous underwater vehicles Image annotation, including AI-based approaches. Functional trait analysis, taxonomic identification of deep-sea benthos, biodiversity metrics; and spatial
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Collaborate with CCY researchers on ongoing projects and contribute to the development of new research initiatives Contribute to data analysis and data management Contribute to national and internationals
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remote sensing and data science, including data reduction and analyses, statistical methods and software development. Applicants are expected to have strong expertise in one or more of the following areas
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. Data analysis and preparation of scientific reports. Collaboration with national and international research teams. Participation in doctoral training and academic activities. Writing a PhD thesis
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economical aspect to the technology. Study the techno-economic trade-offs of MR technology by designing and performing aero-servo-elastic analysis of MR wind turbines with various number of rotors and power
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, Raman spectroscopy and HPLC/GC-MS. Computational and Theoretical Analysis: Collaborate on DFT modeling of bond dissociation free energies (BDFE) and charge transfer energetics. Data Analysis and Reporting