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cavity immune surveillance system and its importance for the fish defense against infectious diseases in aquaculture. More about the position The successful applicant will join Julien Resseguier’s “Spatial
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and/or the equivalent training and administrative work experience involving the study, analysis, evaluation, development or improvement of administrative policies, procedures, practices, or programs
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the Iberian Peninsula: an eco-evolutionary and spatially explicit approach (Ref. 2024.15118.PEX ), financed by Fundação para a Ciência e a Tecnologia, I.P. through national funds under the 2024 Call for
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analytical skills and a solid foundation in data synthesis, remote sensing, spatial analysis and Bayesian statistics o Strong proficiencies in R and/or Python o Experience with version control in GitHub
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interpersonal and communications skills. Qualifications Mandatory: PhD in related field Desirable: Experience in spatial analysis, proteomics. Please Note: Appointment to this position is subject to passing a
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Entitlement: 33 days annual leave, plus 9 buildings closed days for all full time staff. Use our total rewards calculator: https://www.hw.ac.uk/about/work/total-rewards-calculator.htm to see the value
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a global leader in research. The School of Infection and Immunity https://www.gla.ac.uk/schools/infectionimmunity/ is driving innovation in immunology, parasitology and infectious disease, a combined
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properties and processes, as well as how soil functions are affected by changes in environmental conditions, including climate change. Through research, environmental analysis and education, we contribute
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characterization of genetically modified mice using spatial transcriptomics and gene targeting *Bioinformatic analysis of whole genome DNA methylation and expression data *Conduct chromatin profiling and analysis
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preprocessing; Integration of geospatial and soil data into databases. Data processing and analysis: Application of geoprocessing and spatial analysis techniques; Development and calibration of predictive models