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or biological systems. Proficiency in implementing and interpreting statistical and ecological process models in R or Julia is essential. (Research Assistant) Applicants must hold a BSc or MSc in ecology
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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
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are looking for an enthusiastic individual with a degree in a quantitative discipline. Experience of geospatial analysis (with GIS) is essential and programming with code (e.g. R, Python) would be advantageous
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, cognitive science or a related discipline, and a keen interest in developmental research. Prior experience with experimental design, data analysis (preferably in R) or developmental populations is highly
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to existing postgraduate students. Applicants must hold an offer of study at The University of Manchester before applying for this funding. RADMA's support is focused on the field of ‘R&D management' and we
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. Experience with EEG, fNIRS, or behavioural experiments. Programming and data-analysis skills (e.g., MATLAB, Python, R). Funding: This position is funded by the EU-funded HUM.AI.N-ACCENT Marie Skłodowska-Curie
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. Application sent directly to this e-mail will not be considered. Closing Date: 09 Oct 2025 Category: Research and Teaching (R&T) Where to apply Website https://academicpositions.com/ad/university-of-nottingham
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measurement; Measurement of related tracers (e.g., Radon); Programming (e.g., R, Python) for advanced atmospheric time-series analyses, including machine learning; Skills for presenting research at scientific