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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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Do you have experience with modelling structures subjected to dynamic loading? Are you interested in data-driven methods for modelling applied loading? Are you eager to share your knowledge within
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, proteomics, and bioinformatics to make informed decisions on data analysis and validation experiments. Dr Francavilla’s team is funded by the Novo Nordisk Foundation and LEO Foundation and focuses
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to: Collect data through e.g. literature studies regarding the raw materials to be used Perform data analysis and interpret results from chemical and microbial analysis of the raw materials Carry out product
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chemical trauma scenarios. Further, the plan is to develop a novel quantitative 3D bite mark analysis method. The overall perspective is to secure implementation of 3D dental data within the field
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of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts are supported by
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international quality, including publication. Single cell RNA sequencing and data analysis Characterization and production of monoclonal antibodies Flow cytometry Confocal microscopy qPCR In vitro cell cultures
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and reduction of very large data sets, data analysis, and simulations of X-ray scattering and spectroscopy signatures of dynamic processes in battery materials. The theoretical/ simulation efforts
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. Qualifications Applicants with experience in mixed methods, particularly digital methods, data scraping/analysis and qualitative research (Netnography and interviews) will be preferred. Proficiency in English and
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. The overall goal of the project is to design a novel high temperature heat pump. You will be conducting Computational Fluid Dynamic (CFD) simulations and cycle analysis, which will be instrumental