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of the drivers behind a thriving university environment. Your key responsibilities will be to: Design and deliver sustainable analytics solutions using SQL and Python Translate data into insights and guide
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analytical chemistry, particularly GC-MS analysis of trace volatiles Good communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is
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or Python) for data cleaning, analysis and statistical modelling. Implement data quality and consistency checks. Excellent written and verbal communication skills, with a high level of attention to detail
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experience Strong manuscript writing skills and evidence of contribution to peer-reviewed publications Proficiency in R, Python or other relevant statistical/computational platforms Strong analytical and
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of system and data confidentiality and complete any other requirements. Desirable skills: Experience in programming (C, python, or similar). Knowledge in machine learning or distributed systems. How to apply
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, AquaCrop) or experience with agricultural or environmental modelling. Some experience with programming in R and/or Python. Exposure to climate or weather data, forecasting systems, or geospatial tools
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and Application Apply specialised expertise in a range of applications, including SAP Business Objects, Power BI, Excel, and programming languages such as Python and/or R, to deliver data-based
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and build alignment across the team and priorities. Desirable experience includes : Scripting and integration experience (e.g. PowerShell, Python, JavaScript). Role Requirements: As this is a continuing
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to learn robotics or human-centered research methods will also be considered. Experience with programming languages (particularly Python), deep learning frameworks, and robotic simulation platforms (ROS
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datasets. Demonstrated knowledge of and experience in applying FAIR data principles and managing metadata. Proficiency in programming languages such as Python or C++, with experience using relevant libraries