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Field
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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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numerical and analytical techniques to address key research questions. Develop and optimise Python code to support reservoir and groundwater modelling projects, publish high-quality research outputs, and
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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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. Skills and Experience: A PhD completed or near completion in Economics or a related field. Strong coding skills (e.g., R, Python, Stata). Experience in designing and conducting experiments. Excellent
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, Google Data Studio). Strong proficiency in Excel and Powerpoint. Familiarity with coding (e.g., basic SQL, Python, or R) – for data extraction and automation tasks. Experience in audience management and
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experience with programming (e.g., Python), machine learning, or educational data is beneficial, it is not a strict requirement. The project provides ample opportunities to develop these skills over time. What
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various IT solutions platforms including two or more of: front-end web application platforms (e.g. React.js, Vue.js, Bootstrap, Tailwind CSS), back-end web application frameworks (e.g. PHP, Python, Django
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funding, and provide insights that drive strategic decision-making. You’ll work with tools such as SQL, Python, Tableau, Power BI and Excel to develop reports, streamline processes, and communicate findings
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discipline demonstrated expertise in research design, human data collection, and analysis experience programming in MATLAB and/or Python an interest in, or willingness to develop skills in, neural mechanisms
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sheet modelling demonstrated through a record of publications in scientific journals. Excellent programming skills (e.g. Python, MATLAB, Fortran) and ideally also experience in High-Performance Computing