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experience developing reproducible machine learning pipelines applied to complex biological datasets also experience of coding in R and python. Applications for this vacancy should be made online and you will
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cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working
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architecture and hardware security, significant coding experience (both Python and C/C++), and a record of working in a Linux environment and related scripting languages. What we offer At the university
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cell RNA-seq, ATAC-seq Experience with python and/or R programming languages, including single cell package ecosystems (scanpy and/or Seurat) Experience working within HPC environments Experience working
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expertise in analysing/ training models on biological or chemical datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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, computer science, statistics, or a related field together with strong programming skills in Python, R, or similar languages, and proficiency in high-performance computing. You will have experience in large-scale
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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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publications in high impact journals, advanced proficiency in R and Python, and prior experience in cardiac imaging and high-dimensional data integration are essential. The postholder will be expected to work
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. Strong programming skills with proficiency in Python and/or C++, and practical experience with deep learning frameworks such as PyTorch or TensorFlow. A track record of high-quality research outputs
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with mouse genetics, molecular biology (including functional genomics) and bioinformatics (including UNIX, R and Python for single cell analysis). You will be highly motivated, current with