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. About you Strong quantitative research skills with hands-on experience are essential. You must have experience in application of bioinformatics pipelines to omics data (outside educational settings). You
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of medulloblastoma biology, focussing specifically on tumour metabolic targets. You will develop and support the INSTINCT-MB. programme through the provision of experimental, analytical and bioinformatic expertise
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breast cancers (TNBC). Based in the Cancer Bioinformatics Group (Professor Anita Grigoriadis), the postholder will contribute to the development of scalable analytical tools and apply these to rich
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and detailed experimental records. Assist with data interpretation, report writing, and manuscript preparation for publication. Collaborate with multidisciplinary teams, including bioinformatics and
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bioinformatics analysis. Data is collected, recorded and organized using standard methodology. The ideal candidate will perform a wide variety of moderately complex laboratory tasks and animal experiments
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of successful research projects and publications. Preferably in the areas of genomics and bioinformatics. Excellent analytical and problem-solving skills. Effective communication and collaboration abilities. City
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track. Expertise is required in the specific area of human genetics/genomics, computer science, bioinformatics, neuroscience, neurology, or related fields. Applicants must have a Ph.D. or Ph.D equivalent
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into clinically meaningful insights. About You We are looking for a motivated researcher with a PhD (or near completion in 2025/26) in statistical genomics, genetic epidemiology, bioinformatics, or a related field
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the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a PhD degree in Bioinformatics/Computational Biology, or a related discipline, with extensive
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through innovative statistical approaches. Key Roles & Responsibilities Develop, optimize, and maintain scalable bioinformatics pipelines for genomic, transcriptomic, and proteomic data analysis