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analysis a plus • Working in Linux environment • Problem solving, troubleshooting skills • Track record of scholarship (e.g. publications) • Works well in a multidisciplinary and
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troubleshooting. Strong Python skills are required for workflow automation, data processing, testing, and model orchestration. Familiarity with C or C++, APIs, dynamic-link libraries, version control, Linux
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. Requirements: Ph.D. in Climate Science, Atmospheric Science, Environmental Science, Computer Science, AI/Data Science, Remote Sensing, Urban Sustainability, or a related field. Experience with Linux-based high
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transcriptomics. Familiarity with next-generation sequencing data analysis tools. Experience working in Linux environments, including batch job management on shared computing resources. Familiarity with a variety
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field. Strong experience in statistical modelling, machine learning/deep learning, genomics and multimodal biological, and biobank data analysis. Proficiency in R, Python, Perl, and Linux environments
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appropriate operating systems and programming languages e.g. Linux, Python, R. Excellent interpersonal and communication skills and ability to work with colleagues at all levels. Desirable Criteria
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programming skills in Python and/or R. Experience working in Linux/Unix computing environments. Experience analysing high-throughput sequencing data (WGS, WES, RNA-seq and/or single-cell sequencing
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related field. Strong experience in bioinformatics and analysis of high-dimensional genomic datasets. Strong programming skills in Python and/or R, and experience with Linux/HPC computing
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and research software relevant to job duties (Linux operating system, Gaussian/ ORCA , AMBER /OpenMM, coding skills in Python) Supervisory Responsibilities No Required operation of university owned
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and research software relevant to job duties (Linux operating system, Gaussian/ ORCA , AMBER /OpenMM, coding skills in Python) Supervisory Responsibilities No Required operation of university owned