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Field
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, integration, clustering, and annotation ● Proficiency in Python and/or R for large-scale data analysis ● Experience developing reproducible workflows, pipelines, and scalable data-processing frameworks
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PhD Expert knowledge of statistical modelling, statistical inference and use of relevant software (e.g. R/Python) both for data processing, visualisation and programming. Excellent communication and
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systems. Proficiency with commercial modelling software, e.g., ANYSYS Fluent, or open-source modelling platforms such as OpenFOAM or Python. How to apply Candidates should apply online, carefully answer all
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techniques. Training or demonstrated experience in remote sensing, spatial data collection, and thematic mapping. Proficiency in data analysis software (e.g., R, MATLAB, SPSS, Primer, Python). Experience with
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years and in the relevant areas of Machine Learning / Artificial Intelligence, Credit Risk Modeling and Operations Optimization Modeling; The candidate must have strong programming skills in Python, and
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), chemistry, statistics, biochemistry or a related discipline Have expertise in programming and quantitative data analysis, including machine learning in a software such as R/Python Have a developing ability to
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programming languages (e.g., Python, R, Matlab). Demonstrate excellent communication skills for articulating research in presentations and publications. Show a track record of publishing in peer-reviewed
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PhD registration at Imperial College London. Experience in energy systems modelling, techno-economic analysis, or renewable energy integration Familiarity with modelling tools such as Python, MATLAB
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; or Experience with high-fidelity solvers, e.g. SU2, OpenFoam, StarCCM+, Fluent; Proficiency in programming, e.g. Python, Matlab, C; Experience utilizing high-performance computing (HPC) to parallelize workflows
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track-record conducting research using large-scale routine or registry data, preferably in cancer High-level proficiency and experience in R, Stata, or Python, with demonstrable experience applying open