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methods for generating simulation models of healthcare pathways in Python. The Health Service Modelling Associates (HSMA) Programme is an online national training scheme for public sector analysts
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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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and under load. Multi-scale modelling based on continuum mechanics and hydrodynamics informed by experiments and molecular modelling. High-throughput data analysis and image processing using Python
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. Technical skills Proficiency in computational design tools (e.g., Grasshopper, Rhino, Python). Familiarity with immersive environments (Unity, Unreal Engine). Experience with AI-driven visualization workflows
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sciences, or related disciplines Strong programming skills (preferably Python and C/C++) Expertise in bioinformatics of networks Proven ability to publish in leading international journals Excellent
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cloud processing (e.g., CloudCompare, Autodesk ReCap) and/or GIS. Immersive simulation environments and interactive design tools. Experience coordinating interdisciplinary research projects. Experience in
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or machine learning methods to tackle predictive questions. Proficiency in building and validating statistical methods and/or machine learning techniques in R or Python are also essential. Applicants
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expertise in analysing/ training models on biological or chemical datasets Proficiency in Python for data science and machine learning Possess sufficient breadth or depth of specialist knowledge with deep
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Experience in statistical or scientific programming (ideally R and/or Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate
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Requirements: A completed doctoral degree in chemistry, bio technology or a related field. Strong programming skills in Python, R, or similar languages. A track record of research competence and initiative