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analysis, spatial transcriptomics, mechanobiology methods, and drug screening. The project has the potential to provide a next-generation research tool and data that may in the future support clinical
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of analysis. Other responsibilities will be to prepare and maintain teaching laboratory spaces and participate in department and/or unit meetings. The qualified candidate will have an advanced degree in
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post, starting January 2027 within the lab of Prof. Clare Davies (https://www.claredavieslab.org/) and Dr. Susanne Gatz at the Department of Cancer and Genomic Sciences, investigating oncogenic
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Budget Analyst to join their team. About this Opportunity Reporting to the Coverage Analysis Manager, the Clinical Research Budget Analyst (Analyst) serves as a subject matter expert in coverage analysis
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undertake the senior statistical role in, the analysis of large and complex data that have been collected or are currently being collected by trials on the OCTRU portfolio https://www.ndorms.ox.ac.uk/octru
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 13 days ago
context of the ANR PRCI CoDaLi project, with Inria Rennes and the RPTU (https://rptu.de/ ). The general objective of the CoCoDaLi project is to design and implement offline and runtime techniques that allow
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Lab (PI Rachel Carlson) seeks a Research Data Analyst 1 in the area of remote sensing and geospatial analysis. This is a part-time position (20 hours per week). The Research Data Analyst 1 will conduct
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based on Artificial Intelligence, Machine Learning and Data Science for the modelling, analysis and interpretation of complex biomedical systems. Research activities will include the design and validation
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: Start: 01/01/2026 End: 31/10/2029 HOST CENTRE: Faculty of Health Sciences PURPOSE OF THE CONTRACT: Cross-cutting support in data analysis across all the research lines of the group. The successful
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disease or relevant industrial experience are encouraged to apply. Experience in one or more of the following is highly desirable: analysis and integration of transcriptomic, proteomic or spatial omics