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approaches from the Digital Humanities. The successful candidate is expected to apply and further develop methods such as spatial analysis, GIS-based research, and network analysis in order to explore
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23 Feb 2026 Job Information Organisation/Company Centrale Lille Institut Department North Research Field Engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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-throughput biological datasets Experience with analysis of proteomics or spatial transcriptomics experiments is a plus Sound statistical knowledge and fluent programming skills using R/Bioconductor and/or
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particular, it should relate to one or more of the following areas: theory for spatial discretisations of PDEs, analysis and design of domain decomposition methods, numerical analysis for stochastic PDEs
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applications (https://dcm.univ-grenoble-alpes.fr/research/ingenierie-et-interactions-… ). The candidate will be based Grenoble, with secondments in other laboratories of the network. Grenoble is the largest city
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been devoted to these issues within the history of economic thought. Until recently, existing studies have focused primarily on the economic analysis of slavery and on the commercial benefits of empire
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, spatial omics, and mass spectrometry, as well as NBIS (National Bioinformatics Infrastructure Sweden). The Department hosts a therapeutic antibody unit, Display and Selection Technologies, which is part of
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; support multi‑omics data integration and analysis across multiple research groups; and collaborate on the development and maintenance of computational pipelines for spatially resolved transcriptomics and
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development. It will involve a paradigm shift which combines geo-spatial-temporal modelling, prospective life cycle analysis, techno-economic assessment and AI methodologies. It will map and analyse
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of computational biology. have experience with data-intensive technologies, such as the analysis of spectral flow cytometry, imaging, single-cell transcriptomics, or spatial tissue profiling data, and should be keen