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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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systems modelling including technical knowledge (e.g., in data science, input-output modelling, applied economic modelling, environmental and ecological assessments, GIS, comparative risk assessments), as
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strong programming skills, particularly in Python. Good interpersonal skills and the ability to work as part of a team are essential in order to make a strong contribution to the project. Benefits
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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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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
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methods in Python and similar environments is also essential. Informal enquiries may be addressed to Professor David Clifton (email: david.clifton@eng.ox.ac.uk). Only online applications received before
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/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script & NCO & CDO, etc.) and have demonstrable expertise in the analysis of big data, while the experience with interpretation of climate
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atmospheric physics, meteorology, climate, numerical methods, and data science. The Research Associate will be proficient in programming/scripting (e.g., in Python, and/or R, and/or Matlab, and/or Bash script
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Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
learning. Interest in tropical ecology, public health, and sustainable development. Experienced and highly skilled in GIS and remote sensing. Strong communication skills and an interest in stakeholder