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and experience in one or more open-source languages (e.g. Python, R). Prior experience/knowledge of computational psychiatry methods for modelling cognitive tasks. Experience in the use of neuroimaging
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programming languages (Python, PHP, MySQL, etc) and API development (RESTful,GraphQL, etc). Excellent communication skills and the ability to build relationships. Excellent technical skills in your specialist
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statistical programming packages (e.g. R) and/or scripting languages (e.g. Python), and experience working on computing clusters/computers running Linux based operating systems. This position is available full
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at the bench or in analysis. Programming in Python, R or MATLAB, and any experience of analysing image or sequencing data. A previous research project, internship or Master's thesis in a related area. How to
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Research experience in developing machine learning and/or deep learning methods. Essential Application/interview Programming experience in Python and use of relevant machine learning / deep learning
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the basis for an animal welfare indicator, review and build on existing welfare frameworks, and translate these into a practical metric that can be applied within HESTIA. You will use Python to develop models
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and programming in at least one language (Python, Java, Bash, Perl, R) Proven experience supervising students in genetics, guiding their academic progress and research skill development. Publication
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genetic or genomic datasets. Experience working with GWAS summary statistics or biobank-scale genetic datasets. Proficiency in programming languages, such as R and/or Python for statistical analysis
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rules - applicants must not have lived or worked in the UK for over 12 months in the 36 months prior to recruitment Experience in programming and computational modelling using languages like Python, C
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; Excellent computational skills, including experience with Machine Learning (e.g. sklearn, pytorch, tensorflow in Python), and the ability to learn new computational techniques quickly as required; Experience