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, technical models, equipment and techniques relevant to the project/discipline as outlined in the Job Purpose. Knowledge of specialist IT software (eg. Matlab, LabView, or Python). Skills Essential: C1
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Environments (TREs). Skills Essential: C1 Proficiency in programming languages such as Python or R, and experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). C2 Ability
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windows operating systems. C2. Strong technical skills in various GIS, remote sensing, data management and statistical analysis software (e.g. ArcGIS, QGIS, Python, R). C3. Strong programming skills in
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, and data serializations (e.g. Python, JavaScript, HTML5, CSS3, XML, XSLT, JSON, RDF, MySQL (or similar, e.g. MariaDB), etc.) with capacity to acquire competence in other web development technologies as
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of common programming languages for research computing (e.g. Julia, Python, C, C++, Fortran, R or MATLAB). B3 Knowledge of scientific computing packages, their installation and operation, e.g. LAPACK, OpenMPI
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professional experience in management role(s). A2 Strong knowledge of more than one modern programming language used in research (typically Python, R, C++, Java, Julia, C). A3 Excellent understanding
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in programming using Python, and deep learning frameworks such as TensorFlow and PyTorch. C2 Research creativity and cross-discipline collaborative ability as appropriate. C3 Excellent communication
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leadership, mentoring, or community-building roles within a research or academic setting. F3 Familiarity with programming languages (e.g., Python, R), web development tools, or data visualisation platforms
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computational biology or genomics. E3. Experience in a programming or scripting language, ideally, Python. E4. Experience in analysis of genomics data. E5. Experience in writing scientific reports, projects
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collections or content management systems, using tools such as Microsoft Excel, OpenRefine, Python (e.g. pandas), or XML/XSLT). D3 Commitment to continuous professional development to enhance own skills and