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aptitude for learning molecular biology and the human genome. Documented knowledge of statistical theory and methods, data mining, and machine learning methods. Documented shell script, R, Python, and C
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analysis of complex biological and clinical data. Demonstrated proficiency in programming languages such as Python and/or R, with experience analyzing large-scale molecular, clinical, or biomedical datasets
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-throughput sequencing data, proficiency in programming languages such as Python or R, Linux/Unix command-line skills, and the ability to develop reproducible analytical workflows. Experience with
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SHINE colleagues, running Python models and checking outputs for accuracy. Lead and contribute to publications, grant applications, and stakeholder engagement that translate modelling insights into
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(e.g., R, Python, Perl, C++, Java) and knowledge of statistics and mathematics are required. Training experience in artificial intelligence (such as machine learning and deep learning), experience
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management and organizational skills · Ability to work effectively as a team · Excellent written and oral communication · Dependability, initiative, and professionalism Preferred skills: · Python
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students within the group. Job Requirements: PhD in microbiology, bioinformatics, computational biology or a related field. Experience on python, linux and HPC. A strong interest in interdisciplinary
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resistance. • Perform bioinformatic analysis of single-cell and genomic datasets, including scripting and pipeline development in R and/or Python. • Contribute to the development, testing
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: Strong programming experience in Python and/or R is expected. Experience with Linux/HPC environments, workflow development, statistical modeling, machine learning, and reproducible computational
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density functional theory. Refereed publications in these areas commensurate with career stage. Experience of FORTRAN and python programming. Previous experience in developing and using parallel