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. Applicants should have demonstrable programming or scripting experience and the ability to develop and evaluate working software prototypes. Python is essential, and Houdini’s VEX is also relevant to the
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Engineering Process Engineering Or a closely related discipline A background in thermodynamics, energy systems, process modelling, programming, or simulation tools such as MATLAB, Python, Aspen Plus
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are looking for someone with a PhD or equivalent relevant experience in computer science, machine learning, medical imaging, biomedical engineering or a related discipline. You will have strong Python
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, or simulation tools such as MATLAB, Python, Aspen Plus, TRNSYS, or EES is desirable. Funding Package UKRI tax-free stipend (£21,805 per annum for 2026/27) Full tuition fee support Research Training
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Python programming experience Have familiarity with at least one LLM framework or API (Hugging Face, llama.cpp) Have solid software-engineering and version-control (Git) practice To be successful at
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transport processes in minewater systems, with additional model development and customisation undertaken in MATLAB or Python to extend capabilities and explore sensitivity analyses. Experimental data from
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), data science, and strong computational/statistical skills in Python or MATLAB are essential, as are excellent communication and collaboration skills. Interdisciplinary interests are particularly
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PhD Studentship: AI Optimisation of Green Roofs and Facades for Low-Carbon, Heat-Resilient Buildings
, together with Python programming experience and experience in artificial intelligence or machine learning. They should also have experience in one or more of the following areas: GIS or remote
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essential: Ability to program in Matlab or Python; Previous experience in Finite Element Analysis. Application Procedure Informal enquiries are encouraged and should be addressed in the first instance to
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and reanalysis products. Training: You will develop skills in chemical analysis, data processing, visualisation and interpretation using coding (Python or Matlab) and learn to develop an idealised