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managing, analysing, and visualising spatial datasets relevant to air quality, land use, or ecological infrastructure Strong research skills, including fieldwork, data collection, and the ability to engage
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• Experience collecting EEG data. • Experience using PsychoPy and Gorilla Skills/Abilities Essential • Demonstrate good verbal and written skills. • Demonstrate good computer skills, including MS Office
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patch clamp electrophysiology. Perform quality control analyses on data. Mange the analysis of data and record keeping in electronic lab notebooks. Suggest methodological improvements as and when needed
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. For enquiries about this position please contact Dr Mathew Clement via email: ClementM@cardiff.ac.uk. This is a full time (35 hours per week) fixed term post until 31st July 2027 and is available immediately
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suitability for this project; this could be a collection of shorter samples/excerpts that illustrates your ability to write for different audiences. The closing date for applications is midnight (BST) on Sunday
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that demonstrates your suitability for this project; this could be a collection of shorter samples/excerpts that illustrates your ability to write for different audiences. The closing date for applications is
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this vacancy please contact Professor Elaine Ferguson - Professor in Polymer Therapeutics via email: FergusonEL@cardiff.ac.uk. This is a full-time (35 hours per week), fixed-term for a period of 4 months and
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your application. Please include details of your referees, including email address and phone number, one of which must be your most recent line manager. Closing date: 19th September 2025 Interview date
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mark possible), research papers rated 4*, impact rated 4*, environment rated 4*(joint), Grade Point Average and Power. REF2021 rated as world-leading: 100% of our environment, 86% of our impact and 70
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partners in Thailand and Australia in a project funded by the British Council, and you will be responsible for investigating the latest developments in computer vision and Deep Learning to develop powerful