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Field
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The role Recognised as a leading authority in full-stack Python software development, you will support JOINER project by delivering expert-level solutions and applying advanced technical techniques
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confident in handling the relevant data and be competent in programming on either MATLAB or Python. You will also be enthusiastic about building and troubleshooting your experimental rig. You will have the
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The opportunity The University of Liverpool is a key partner in a £14 million initiative ( https://tinyurl.com/yc5z768m ) to develop a sustainable, next-generation manufacturing facility, using
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over time, enabling fine-grained modelling of learning processes. Methodologically, the project will involve statistical modelling in R and/or Python, with a focus on continuous-time structural equation
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will select, follow, and adapt specialist data analysis methodologies using R and/or Python to work with large-scale datasets. You will represent the research group at internal and external meetings and
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candidates will have: A solid grounding in mathematical or physical sciences Interest in dynamical systems and complex system behaviour Some coding experience (Python and/or Julia) Enthusiasm for working
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activities, including supporting clinical trial and experimental medicine studies. You will select, follow, and adapt specialist data analysis methodologies using R and/or Python to work with large-scale
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of programming with Python for either electron microscope control or for analysis of electron microscopy images. Due to the collaborative nature of the project, the researcher will have the opportunity
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derive generally applicable guidelines for the design of improved organic materials. Interested candidates may want to take a look at our recent work https://www.nature.com/articles/s41467-025-67722-4 and
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. Knowledge of simulation tools for wireless communication systems; experience in MATLAB/Python (or similar). Mathematical skills for conceptualisation, modelling, optimisation, and analysis of problems