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of multiplex cytometry data analysis programs including OMIQ Experience in statistical programming with R and/or Python. Knowledge of R/Python spatial transcriptomics data analysis packages such as Seurat/Giotto
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and ML packages with a Python programming environment. Ability to troubleshoot complex biochemical assays, identify causes of non-specific amplification and design appropriate controls. Ability to plan
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languages (python, JAVA script, C++) & deep learning Technical expertise (e.g., adapting/tweaking/debugging code) Ability to create online experiments, using online platforms such as Qualtrics Contribute
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keeping (essential) Strong expertise in T cell biology (desirable) Proficiency in computational analysis (e.g. R, Python, linux command line) (desirable) Experience in generating and analysing single-cell
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or related methods. Strong quantitative and statistical skills, with experience using relevant software such as R, Python, MATLAB, MNE, FieldTrip, or comparable tools. Evidence of the ability to conduct
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or Python Experience of working on methodology solutions to improve health research Ability to communicate complex information clearly, including to patient groups supporting the research project Knowledge
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mathematical and quantitative skills • Familiarity or experience with data analysis methods (e.g. use of Stata, R, Python, or Stata) • Ability to communicate complex information clearly • Excellent ability