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Python, QuantumOptics.jl in Julia) will be used throughout the project.
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modelling and simulation techniques and software packages would be an advantage. Programming skills in languages such as Python, C++, MATLAB, are desirable, as is an awareness of machine learning or other AI
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the coupled aerodynamic, structural and thermal analysis of interface regions, for example between fins and fuselage, in hypersonic vehicles. This will involve the use and augmentation of in-house python-based
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Engineering, Physics or Materials Science Excellent English written and spoken communication skills The following skills are also highly desirable: Ability to program in Matlab, Python or similar Strong
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highly desirable: Ability to program in Matlab, Python or similar Strong laboratory-based skills Application Procedure Informal enquiries are encouraged and should be addressed to Prof Daniel Eakins
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Appropriate computational skills and knowledge of programming languages (Python, C++, etc.) Experience with Machine and Deep Learning models and software (Keras, Scikit-Learn, Convolutional Neural Networks, etc
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business datasets (e.g. ORBIS, Foreign Direct investment Data - UNCTAD) and appropriate experience with statistical software (e.g. Stata, R, Python). They will have a good understanding of, and interest in
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monitoring. Familiarity with tools such as Python, MATLAB, or embedded C would be advantageous. Most importantly, this project is ideal for applicants who are motivated to tackle real-world reliability
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tools like FEniCS and Python. Additionally, working on a high-impact, interdisciplinary project will strengthen problem-solving, critical thinking, and project management skills. The collaboration with
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or willingness to learn programming languages (e.g., Python, R) for handling and analysing clinical data. Additional Requirements: Ability to work independently and collaboratively within an interdisciplinary team