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-rock interactions, hydrogen and methane production, and mineral phase transformations, is an asset. The candidate should be adept at scientific programming languages such as Python or R (preferentially
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. Proficiency in programming MATLAB and Python for data analysis and algorithm development. Knowledge of data assimilation techniques is a valuable added. Excellent communication skills and ability to work
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, Python). Demonstrated ability to independently design and conduct experiments, analyze data, and publish results. Excellent written and verbal communication skills. Strong organizational and time
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and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques. Preferred Qualifications: Prior working experience with EHR data, machine
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well as proficiency in MATLAB, Python, or similar for real-time data analysis. Knowledge of implantable neural interfaces, electrophysiology, and stimulation technologies is also essential. Informal enquiries may be
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); Experience of statistical or other programming languages to manipulate large-scale datasets – e.g. Python, R; Strong quantitative skills and analytical reasoning applied to observational data; A track record
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. Experience in cancer genomics, microbiome, and metabolomics analysis ideal. Experience in scRNAseq or long reads data analysis is a plus. Programming skills in R, Python, SAS, Perl, BASH or similar a plus
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analysis is a plus. Programming skills in R, Python, SAS, Perl, BASH or similar a plus. Experience working in a Linux environment preferred. Experience working in high-performance computing environments
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) is an advantage Experience in software tools such as Origin, Matlab, Python/Matplotlib or similar programs for data processing and evaluation. Knowledge of a relevant programming language complements
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Python or Julia). Experience of computer-aided design (CAD) of components and devices. Experience of using and/or writing numerical simulation code. About Heriot-Watt University At Heriot-Watt we