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, 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 on regulatory
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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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will be using metabarcoding for the analysis of microbiomes from field and greenhouse experiments, and you will integrate data on microbiome composition, nematode infestation, plant performance, plant
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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
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heterostructure quantum devices Perform electrical measurements (i.e. magnetotransport) at room and/or cryogenic temperatures Participate in TEM and nano-ARPES characterisation and analysis Collaborate with project
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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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Analysis of CO2-to-Food Pathways The ideal candidate should have all or several of the following academic and personal qualifications: A PhD in chemical engineering, process systems engineering, energy
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tissues and explore potential links with genetics and macromorphological characteristics. To this end, we will employ collection and analysis of tomographic data using state of the art synchrotron 3D
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postdoctoral position in methods development and analysis of multi-omics and clinical data for inflammatory skin diseases. The start date is October 1st, 2025, or as soon as possible thereafter. Research context
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protocols for data format and sharing. Dissemination of the research results. Qualifications: Candidates should have a PhD degree in experimental physics, chemistry, materials science or equivalent. The core