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Field
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background in power systems, energy modelling, or grid optimisation Proficiency in GUI development (e.g. using Python Dash, Tkinter, or web-based frameworks) Experience working with data-driven simulation and
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products Familiarity with relational databases, data management, and data quality principles Experience with analytical or automation tools such as R, R Markdown, Python, SQL, or similar technologies
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computational methods expertise, including Python, R or similar languages, machine learning, NLP, text mining and reproducible coding practices. Experience analysing social media data using qualitative
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analysis, coding in Python and R, is desired Prior experience with mouse models of cancer is advantageous Modes of Work Positions that are eligible for hybrid or mobile/remote work mode are at the discretion
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or projects) Experience with high-frequency transport experiments at low temperatures Proficiency in computer-based data acquisition and processing (e.g., Python, C++, LabView) Proven track record of high
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Python, Stata, R, or similar statistical programming languages. Assist with occasional projects working with administrative data to inform operational decision-making and strategic planning within the law
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vision and deep learning methods relevant to imaging, together with programming experience using modern scientific computing tools such as Python and PyTorch or TensorFlow. The successful candidate will
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Engineering, who have received recently a PhD degree or passed a viva. Expertise in finite element analysis (especially ANSYS), the skills allowing to create Python-ANSYS interfaces and using machine-learning
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approaches Desirable: D1 Software skills including one or more of the following: python, C/C++, Matlab Experience Essential: E1 Experience of planning and progressing work activities within professional
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methods. Conduct advanced quantitative analyses, impact evaluations, and wellbeing assessments using software such as R, Stata, SPSS, Python, or related analytical tools. Ensure data quality through