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(functional and technical). We are also looking for a candidate who possess knowledge of Linux, scripting languages such as Python, local and networked storage such as ZFS and NFS, server virtualisation, and IP
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Windows and Mac desktop support Current PC hardware Windows Server and Active Directory MySQL, PHP/Python and web development Audio Visual facilities This is a full-time role (36.5 hours/week working Monday
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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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or Masters) in a quantitative / analytical subject. Experience in computer programming, particularly in the context of data manipulation and analysis using a language such as Python. Experience in working with
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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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(essential), Modelling and resource analysis (essential), Use of Python, Matlab or other appropriate programming languages (essential), Familiarity with building and construction (desirable). Collaboration and
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analyses, and/or proteomics. Alternatively, you will have experience in large-scale biomarker informatics. The role holder will have good skills in LINUX/bash/python and statistical analysis, preferably in R
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well as programming (Python, R, MATLAB) or instrument method development, would be advantageous but not essential. Excellent communication, organisation, and teamwork skills are essential. The ability to work
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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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, 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