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models for transport. Experience in using MATLAB/ Python/Siemens Simcentre to develop AI-assisted programme and models for powertrains and propulsion systems within the transportation and energy sectors
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(e.g. Matlab / Python) Experience of or willingness to work with pre-clinical tissue models (e.g. farmed meat) and human tissue (e.g. contaminated instruments in clinical facilities). A proven academic
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intelligence, or numerical methods for climate systems, and be confident in using tools such as Python or MATLAB. Additional information For informal enquiries, please contact Professor Valerio Lucarini
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in analytical tools (e.g., MATLAB, Python, GIS, or similar). Knowledge of AI and Multi-Agent Systems. Proven ability to analyse complex information and summarise appropriately Ability to demonstrate
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specialist knowledge in mechatronics design and control, and proven programming experience in Python, MATLAB or C/C++. Informal enquiries may be addressed to Professor Liang He (email: liang.he@eng.ox.ac.uk
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using tools such as Python or MATLAB. Additional information For informal enquiries, please contact Professor Valerio Lucarini on v.lucarini@leicester.ac.uk As part of the University’s ongoing commitment
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statistical and machine learning to real life problems, using a popular computer language (e.g. Matlab, Python), and familiarity with topological and geometric data analyses. Candidates will have excellent
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, MATLAB) Excellent communication skills, both written and oral
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projects by supporting staff and students with participant recruitment and testing, and with the use of programs such as Eye Link, Gorilla, Praat, ELAN, Matlab, Python, Ibex Farm, AAA (Articulate Assistant
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, including high throughput experimentation, programming (e.g. in LabView, Matlab) and numerical modelling. They will be joining a thriving, inclusive Chemistry department with excellent facilities