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or cardiovascular biology, paired with hands-on experience in omics methodologies and bioinformatics analysis. Your academic credentials will be complemented by a demonstrable ability to work independently as
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or solar-planetary science, with demonstrable expertise in imaging or spectroscopy of auroral emissions. Strong programming skills (e.g., Python or C++) and experience with space-based data analysis
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of all aspects of conduct, analysis, reporting and interpretation of clinical research within the LCTU portfolio. You will work closely with Chief Investigators, colleagues within the LCTU team and other
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programme. Your responsibilities will include the analysis of multiplexed immunofluorescence spatial imaging, genomic sequencing and expression profiling data, and the development, troubleshooting and quality
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. Knowledge of proteomic and small molecule sample preparation and mass spectrometric acquisition of data for complex downstream bioinformatic pathway analysis is mandatory. Knowledge of type 2 diabetes and/or
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planetary science or a closely related field, with particular expertise in geochemistry, spacecraft data analysis, and/or X-ray fluorescence techniques. A strong publication record, evidence of independent