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, Python) are required for this role. See the Job Description and Person Specification for more information. What we offer As well as the exciting opportunities this role presents, we also offer great
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environments, scripting/programming (e.g., Bash, Python, R), and genomic analysis pipelines is essential, along with hands-on experience working with large datasets and public repositories such as Genomics
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applicant should have a proven track record of publications, have previous experience with genomics data analysis, be fluent in at least one of the following programming languages: C++, Python or R, and will
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instrumentation, and computing (C++, Python) Informal enquiries to Cristina Lazzeroni, email: c.lazzeroni@bham.ac.uk Use of AI in applications: We want to understand your genuine interest in the role and for
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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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Strong quantitative background Experience with programming languages (e.g. MATLAB or Python) Experience with statistical software (e.g. R or Stata) Ability to work across broad scientific missions and
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programming languages such as C#, Python, and C++. Experience with data analysis techniques and AI methods. For informal queries please contact: Dr. Patricia Cornelio - patricia.cornelio@bristol.ac.uk To find
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methodologies. Applicants must demonstrate strong programming skills in at least one scripting or programming language (e.g. Python, R, Perl, Nextflow, C++, or Java) and experience in areas such as
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theory, market structures, game theory, and programming skills (e.g. Python, MATLAB), alongside a deep understanding of policy and market issues related to local energy communities in the UK and EU. We
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. You will need excellent programming skills (e.g. Python, MATLAB), and a solid understanding of grid codes, standards, and flexibility modelling. Strong communication skills, the ability to work both