10 programming-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"FEMTO-ST" Postdoctoral positions at Queen Mary University of London
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Maria Liakata in the context of the RAi UK/UKRI funded Keystone project on Addressing socio-technical limitations of Large Language Models (LLMs), particularly for medical and social computing https
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mechanisms linking matrix mechanics, bioelectrical signalling and fibrotic cell-state transition. More information on the project can be found here: https://marcfernandezyague.com The successful candidate
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a strong track record of high-impact publications, external funding (>£4 million) and mentoring early-career researchers within a collaborative and supportive environment. More information: https
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programming skills (Python, R, Linux) and experience analysing large-scale sequencing datasets, ideally RNA-sequencing data. You will be self-motivated, able to work independently within a fast-moving
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instance, and available immediately. About You You will have a PhD in computer science, engineering, mathematics, or similar, strong programming skills, and experience with a contemporary machine-learning
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field theory. Experience in cosmology and scientific programming would be advantageous. About the School/Department/Institute/Project The School of Mathematical Sciences has an exceptionally strong
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quantitative and computational skills. Experience using R, Python or other statistical programming languages to analyse biological data would be advantageous. You should be able to work independently
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spatial/scRNA transcriptomics workflows. Strong programming proficiency in R or Python is essential. Proven experience in data acquisition, integration, deconvolution, and calculating cell-cell
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engineering, or a related field. You will have significant experience in statistical genetics or genomics research, demonstrated through a peer-reviewed publication record, and excellent programming skills
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engineering are recommended for this position. The post requires strong research, programming, and system development abilities. Applicants must have a track record of publications in leading peer-reviewed