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industry or academia. Many alumni progress to senior engineering positions, R&D leadership, entrepreneurial ventures in sustainable aviation as well as to faculty positions in academia. This PhD is a chance
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. Bioinformatics: Comparative genome analysis, detection of selection, and functional genomics, phylogenetics. Computational skills: UNIX/Linux, HPC computing, and programming in R and Python. You will gain hands
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on the topic (2,4). Training and Development Training will maximise future employability in academia and industry: Programming and geospatial data analysis using Python/R. Machine/deep learning techniques
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and later into career aspirations and professional experience: Statistics, Python, R, Modelling & Analysis Environmental Policy Professional internships (usually 1-3 months) Career Conversations
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or related degree. Curiosity, resilience, and an interest in interdisciplinary, impact-driven research are essential. Experience with ecological fieldwork, data analysis (e.g., R or Python), or public
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, Psychology, or a related field, to be awarded before March 1st, 2026. Essential skills include an ability to code (e.g., Python, R) and interpret data, knowledge of machine learning and statistics, and a
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” programme (https://www.ed.ac.uk/studying/postgraduate/degrees/index.php?r=site/view&edition=2025&id=489 ) with a start date of 14 September 2026 (a starting date of 1 May 2026 can also be considered). In
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Title: Dynamic Processes in Organic Functional Materials Supervisors: Professor Paul R. McGonigal & Dr Alyssa-Jennifer Avestro Start date: 1st October 2026 Applications are invited for a DPhil
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar
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interest and research in the field of economic and experience in data management and analysis. Demonstrable experience of working with quantitative data and relevant software (Stata, R, Python, or similar