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of a 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
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: Lead computational analysis and integration of single-cell RNA-seq and spatial transcriptomics datasets on endometrium. Develop reproducible, version-controlled pipelines and notebooks in R and/or Python
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confident in handling the relevant data and be competent in programming on either MATLAB or Python. You will also be enthusiastic about building and troubleshooting your experimental rig. You will have the
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datasets (e.g., GWAS, RNA-seq) Proficiency in programming languages such as R or Python and experience with bioinformatics tools Strong planning and organising skills Excellent written and verbal
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approaches Desirable: D1 Software skills including one or more of the following: python, C/C++, Matlab Experience Essential: E1 Experience of planning and progressing work activities within professional
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. The role will bridge rigorous theoretical work with hands-on offloading algorithm design and development. The core responsibility is to build and validate these offloading strategies, complete with Python
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and ML packages with a Python programming environment. Ability to troubleshoot complex biochemical assays, identify causes of non-specific amplification and design appropriate controls. Ability to plan
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languages (python, JAVA script, C++) & deep learning Technical expertise (e.g., adapting/tweaking/debugging code) Ability to create online experiments, using online platforms such as Qualtrics Contribute
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can contribute to our multidisciplinary research programme. Candidates should demonstrate experience in at least one of the following areas: Developing, implementing, or adapting Python-based codes and
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analysis, imputation of missing data, multilevel modelling, experience of using statistical software such as R and/or Python. Further particulars are included in the job description. The post is full-time