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collaborations, and the analysis of omics or proteomic data would be advantageous. In return we offer an excellent benefits package including: • 38 days annual leave (pro rata for part time) • Hybrid working
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the field of empirical social research, combining different types of data (narrative and linguistic data, observational data and field notes, autobiographical documents and artefacts) and applying your
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Covert hate speech in state-of-the-art Artificial Intelligence technologies and social Media”, funded by EU Horizon and working with Dr. Arkaitz Zubiaga – https://scholar.google.com/citations?user=IUb
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methods. The ability to carry out analytical procedures that are applied for proteome characterisation to a high degree of precision including sample preparation, LCMS and data analysis is also essential
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engages in continuous professional development. Desirable criteria Experience of network analysis/graph theoretical techniques; Experience working with data related to mental health. Downloading a copy of
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Experience in analysing high-dimensional and spatial data, including imaging mass cytometry (IMC) Advanced programming and data analysis skills in R and/or Python Downloading a copy of our Job Description Full
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of artificial intelligence and robotics. The postdoctoral researcher actively participates in the research, teaching and administration of this group. Further information can be found here: https
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. The research is centered on the description, critical analysis, and scientific explanation of phenomena of education. Your subject area will include the education and trainingprocesses in specially
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culture (BSL1/BSL2), flow cytometry, transcriptomics and next-generation sequencing (NGS), proteomics, and basic molecular biology and biochemistry. Bioinformatics skills for the analysis of NGS data
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and AI and who is able to use some data science methods to collect and visualize data on government data systems in Europe. Benefits We have generous benefits – an agile working environment, 28 days