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using Free and Open Source Software (FOSS) and have demonstrable experience in Python, and/or R or equivalent skills in another relevant language. We are not expecting you to be an expert in all forms
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the application of relevant equipment, software and techniques such as component and material fabrication (specifically via PVD techniques), materials characterisation (e.g. SEM, EDX, XRD, XPS, Raman spectroscopy
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science and FAIR practices (through software, datasets and other research outputs, participation in challenges etc). Familiarity with knowledge engineering methodologies and with semantic technologies, in
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metabolism and human physiology. Experience with clinical research and/or experimental medicine studies necessary. Analytical Skills: Proficiency in data analysis and statistical software. Experience with high
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response windows) and balance metrics using appropriate software (e.g. MATLAB, EEGLAB, BrainVision Analyzer). Manage research data in line with ethical and GDPR standards, including anonymisation, secure
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processing software Experience in prokaryotic (E.coli) cell culture Experience in eukaryotic (e.g. HEK293T cells and/or insect cell systems) cell culture Experience in basic molecular biology and biochemistry
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response windows) and balance metrics using appropriate software (e.g. MATLAB, EEGLAB, BrainVision Analyzer). Manage research data in line with ethical and GDPR standards, including anonymisation, secure
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; supervising student projects/practicals. · Demonstrable ability to model experiments using a range of software packages, such as Python, Matlab or Mathematica. · Experience of experimental
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methods and analytical tools in Africa and Asia. Our protocols and software will be available to the community to allow wider testing and sustained implementation. A critical part of WaSPP research agenda