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Field
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, biomedical sciences, or a related quantitative field * Proven experience in analysing biomedical datasets using Python and/or R Experience working with complex data types Demonstrated ability to develop data
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analysing biomedical datasets using Python and/or R Experience working with complex data types Demonstrated ability to develop data processing or integration pipelines Familiarity with high-performance
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, Spatial Transcriptomics or proteomics/mass spectrometry would be advantageous as would experience using R and/or python code for bioinformatics data analysis of multiplex datasets. Knowledge of MATLAB, Perl
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Experience with test and measurement lab automation and scripting experience in relevant environments (e.g. Python, LabVIEW, MATLAB) What We Offer: A supportive team environment with colleagues committed
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experiments (e.g. native/Hdx-MS, SPR or FRET). Qualifications: Proficiency in at least one computer language as in C++ and/or Python is required. This project also uses Javascript, REACT, and GTK. Experience in
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. Knowledge of phenotyping in federated studies and R, python, or another programming language is desirable. This role does not meet the criteria for sponsorship under the Skilled Worker visa under the UK Visa
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, or ideally PhD, qualification. Experience of processing and analysing large biological datasets. - Expertise in programming using at least one of R or Python. Experience in single cell data analyses and
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genetics, biostatistics and/or bioinformatics, including a strong record of publications and presentations. Similarly, proficiency in the use of programming languages, for example R or Python, is required
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proficient in the use of programming languages, for example R or Python, and have excellent communication skills, including the ability to write for publications, create figures reflecting data analyses
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algorithms proficiency in both general-purpose programming (e.g., Python) and scientific computing, with a preference for experience in Julia Experience in writing up research work for publication Highly