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Field
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Engineering Energy Engineering Process Engineering Or a closely related discipline A background in thermodynamics, energy systems, process modelling, programming, or simulation tools such as MATLAB, Python
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can derive by hand and build up to large-scale calculations. You will need a background in condensed matter physics / quantum mechanics and an interest in coding (Python); no prior experience with
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discipline A background in thermodynamics, energy systems, process modelling, programming, or simulation tools such as MATLAB, Python, Aspen Plus, TRNSYS, or EES is desirable. Funding Package UKRI tax-free
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programming skills in Python and/or C/C++, with experience using machine learning frameworks such as PyTorch or TensorFlow. Familiarity with rendering, simulation, or physics-based modelling (e.g., ray tracing
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methods is helpful but not essential. Some programming experience, for example in Python or R, is an advantage, and applicants should be willing to develop it during the PhD. How to apply Informal enquiries
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, protein purification, and/or machine learning is a clear plus. • Experience in data analysis and coding (preferably Python) • A systematic, independent working style and ability to work in a collaborative
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participating in research projects (20%); c) Experience in programming in Python and related languages (20%). 10. Selection Jury Composition: Ana Isabel Pereira José Lima Inês Sena 11. Method of publication
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characterization is an advantage. Experience with quantitative data analysis and programming (e.g. Python or MATLAB) is an asset. A self-motivated and organized working style, with the ability to work independently
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that candidates possess expertise in some (but not all, or even most) of the following areas: A strong mathematical background Ability to program in MATLAB, Python, or a similar scientific programming language
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quantitative field. Good scientific programming skills, particularly in Python, are required. Experience with atmospheric dynamics, numerical modelling, machine learning, or large meteorological datasets would