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measurement e.g. physics, electrical engineering. A sound understanding of the fundamental principles underpinning the operation of solar cells. Proficiency in Python programming as applied to equipment control
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packages relevant to biostatistics and bioinformatics (e.g. R, Python, Fortran, Matlab, SAS, Stata or equivalent) and experience in the use of high-performance computer resources and parallel computation
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biodiversity data. Develop and optimise ETL (extract–transform–load) workflows to ensure data quality, version control, and reproducibility. Contribute to the development of software tools or scripts (Python, R
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Microsoft Defender, Intune, vulnerability scanners, or cloud platforms (Azure, AWS). Familiarity with scripting or automation (e.g., PowerShell, Python) for security tasks. Flexibility and adaptability
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, you will bring: Essential criteria Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience). Proficiency in at least one programming language (Python
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. Familiarity with Apple device support and other related services using Apple Business Manager Experienced in scripting languages, including Bash and Python. Good understanding of Active Directory, Microsoft
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Bachelor’s degree or equivalent relevant work experience in data engineering. The ability to write effective and efficient code in Python Experience with data packing using JSON and RO-Crates, and experience
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for extended periods. Desirable Familiarity with marine geophysical data (e.g. gravity, magnetic, sub-bottom profiler, acoustic). Experience using GIS tools or programming languages such as Python. Small vessel
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Apache, IIS, Nginx, Java Tomcat or equivalent platforms (or a demonstrated ability to develop new skills in this area). Proficiency in at least 1 of the following programming languages: Python, Bash, Java
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computational skills in scientific computing languages (e.g., Python, Julia, R, MATLAB). Experience modelling and solving constrained optimisation problems in scientific computing environments. Excellent