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the context of computing Familiarity with research tools and methods, including statistics platforms like R and/or thematic analysis Knowledge of user-centred design and research methods involving human
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of these approaches, and how to generate robust inferences. We would expect you to be highly skilled at using programming languages such as R or Python. It is important for you to have a track record of implementing
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development Proficiency in complex data analysis Knowledge and experience with R, Python, MATLAB Familiarity with statistics methods, large data sets and data visualization Ambition, drive, strong work ethic
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to younger and older adults. In addition, the post-holder will help with organising lab administration. Previous experience with neuropsychological testing and strong computer skills (e.g., MS Office, R
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on advancing understanding of: 'what makes national innovation systems effective at translating science and engineering R&D knowledge into new technologies, manufacturing industries and economic value'. CSTI is
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, and/or RNA-seq. Proficiency in programming languages commonly used in genomics, such as Python and/or R, along with familiarity with Bash scripting, is essential. The ideal candidate will demonstrate
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, especially the SOCRATES code, is highly desirable. Experience interpreting large model datasets or observational datasets using software such as Python, R or Matlab and experience running computer code on HPC
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analytical methods for the analysis of linked data from electronic health records and genomic or molecular sources. Strong statistical skills (e.g. proficiency in R or Stata), along with excellent writing
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standard imaging analysis method including use of Python (NumPy/SciPy/PyTorch/Tensorflow), Matlab, C++, version control software (e.g. git), and statistical analysis using R, SQL, etc. Familiarity with
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. Experience in cancer research, including a working understanding of computational approaches for cancer genome analysis being particularly advantageous. Strong programming skills (e.g. Bash, R, Python) and