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algebraic constructions of graphs arising from finite fields, projective and polar spaces, and related structures. Apply computational methods (e.g. Magma, GAP, SageMath, Python) to test conjectures and
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iterate solutions Evidence of intermediate to advanced skills in data and visualisation tools such as SQL, Python, RStudio, Power BI and Domo Strong communication and interpersonal skills (oral, written and
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, and multimodal AI systems. You will bring strong technical skills in Python and modern deep learning frameworks, together with the ability to develop, evaluate, and optimise complex AI solutions. You
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experience in one or more of: LiDAR processing forest inventory photogrammetry machine learning computer vision geospatial analysis experience analysing large spatial datasets programming experience in Python
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-scale implementations. Exposure to JavaScript, HMTL, CSS, Python, SQL and RESTful APIs preferred. Hands-on experience with data management, audience segmentation and personalisation strategies. High-level
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. Advanced quantitative programming and data-analysis skills, preferably in Python, together with the ability to develop transparent, robust and reproducible modelling workflows. Experience working with large
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, including publications record in a relevant field strong programming and computational research skills, such as Python, R, Julia, MATLAB, R, C/C++, or equivalent research expertise in one or more of the
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in languages and tools such as Python, Java, C/C++, Go, JavaScript/TypeScript, or equivalent. Ability to design and conduct experiments, analyse results, and report findings clearly for technical and
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Desirable experience: embedded systems development (C/C++) firmware development and debugging modelling, simulation, and data analysis using Python and/or MATLAB experience with thermistor sensors
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audiences • Proficient in documentation, technical writing, and reporting • Experience in large-scale automation deployment project by Automation tools, proficiency in Ansible, Python, Bash shell and