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using Python, ASE and relevant DFT software analyse electrochemical free-energy landscapes and connect elementary-step energetics to catalytic performance apply machine-learning interatomic potentials and
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learning or a related field experience in the development of machine learning models using Python and pytorch expertise in two or more of the following technical areas: implementation of signal processing
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, computer science, bioinformatics or a closely related discipline strong programming skills in R or Python experience developing or applying methods to complex or large-scale datasets ability to work
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bioinformatics, data science, computer science, statistics, biomedical engineering or a related field strong programming skills in R or Python experience working with spatial omics data, histopathological
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(e.g. Python, R) is also valued; familiarity with international macroeconomic and trade data sources, such as UN Comtrade, UN Official Country National Accounts, or comparable global statistical
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in analysing large-scale omics datasets in R or python strong general IT skills, including familiarity with Linux/Unix environments and HPC systems experience in assisting with the supervision of
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quantitative methods. proficiency in reproducible data analysis using R, Python or equivalent software. demonstrated ability to manage research data, apply QA/QC procedures and deliver work to agreed milestones
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-economic assessment using Aspen Plus, Aspen HYSYS or equivalent approaches. Automated experimental testing, instrument control or data acquisition using tools such as LabVIEW, Python or MATLAB. Pre