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, the Division has a strong complementary background on using local scale community data such as vegetation plot data (e.g. EVA, https://euroveg.org/eva-database and ReSurveyEurope, https://euroveg.org/resurvey
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testing of deuterium permeation experiments in support of the UKAEA’s LIBRTI project (https://ccfe.ukaea.uk/programmes/fusion-futures/librti/). This will include expanding capabilities on UoM’s Gas-Driven
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empirical research study to support the investigation of social and ethical dimensions of AI screening tools for mental health risk; from research design, research ethics submission, data collection, analysis
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the field of brain function and structure (ideally in relation to multilingualism and memory) Background in biomedical engineering Experience in advanced analysis of brain functional and structural data
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applications of the model in research fields that we already cover (e.g., analysis of ice core data; transport of heat, water, greenhouse gases, radionuclides or air pollutants in the atmosphere; inverse
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experienced bioinformaticians, but have the opportunity to be trained and perform independent in-depth bioinformatic analysis. You will have access to clinical samples from the MitoCamb (https
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biology analysis, bioimaging with advanced image analysis, plant transformation, AnalyzER software for analysis of cellular structures) • Experience with statistical analysis • Excellent team
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sequencing, imaging and other emerging technologies (e.g. imaging mass cytometry, spatial transcriptomics) – including aspects of informatics and advanced data analysis. You will be responsible
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aspects of informatics and advanced data analysis. You will be responsible for Conceptualise and design experiments Undertake and drive a research project with view to publication Help supervise other lab
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and oral communication skills in English Motivation for working in the laboratory, carrying out experiments, and data analysis Experience in one of the following fields is required from the chosen