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management and version control (Git/GitHub, workflow automation, documentation) Capacity to work independently and as a multi-disciplined team Excellent verbal and written communication skills (e.g
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, data normalisation and machine learning methods applied to biological datasets Experience with data management and version control (Git/GitHub, workflow automation, documentation) Capacity to work
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This position is for a Postdoctoral Research Associate on the EPSRC New Investigator Award `Accelerating Laboratory Automation Through Learning Tool Morphology For Robotic Chemists¿, a project
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This position is for a Postdoctoral Research Associate on the EPSRC New Investigator Award ‘Accelerating Laboratory Automation Through Learning Tool Morphology For Robotic Chemists’, a project
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semiconducting devices Good understanding of superconductivity and energy bands in materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent
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and topological materials Mastering of micro and nanofabrication techniques Automation of experiments with MATLAB, Python, or equivalent At least a working knowledge of microwave techniques Experience
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microscopy and associated advanced and automated data processing. Knowledge of semiconductor physics and a track record of working with next-generation novel materials for light-harvesting is essential
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MoSS with various diffraction methods, to develop code to automate the characterisation of MoSS with diffraction and other methods. The successful candidate will be involved in the supervision of a PhD
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MoSS with various diffraction methods, to develop code to automate the characteri sation of MoSS with diffraction and other methods. The successful candidate will be involved in the supervision of a PhD
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crystals is a must. The key responsibilities are to develop a database of MoSS, to study MoSS with various diffraction methods, to develop code to automate the characterisation of MoSS with diffraction and