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Strong hands-on experience in bioinformatics Excellent programming skills in R and Python Proven experience in the analysis of next-generation sequencing (NGS) data Practical experience in several
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: Good programming skills in C++ or Python Working knowledge of ROS Publication experience Who we are The Artificial Intelligence in Robotics (AiR) group, led by Dr Andriy Sarabakha, focuses
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variant analysis, ideally in plants -genotype-environment association (GEA/EAA) or GWAS -programming in Python, with extensive experience working in Linux and multiple HPC environments. -population genomics
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approaches; - Advanced programming skills (Python or equivalent). 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic
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communicate findings clearly to academic, policy and non-specialist audiences. C7 Proficiency in relevant quantitative analysis software and/or programming languages (including R/Stata/Python or equivalent). C8
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rigor expectations. Analyzes and Interprets Data Performs statistical analyses of cancer genomics, molecular profiling, and clinical datasets using R, Python, SAS, or similar tools. Validates data
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Matlab and/or Python, R C2 Research creativity and cross-discipline collaborative ability as appropriate C3 Excellent interpersonal skills including team working and a collegiate approach. C4 Excellent
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-reviewed international journals (SSCI-listed or equivalent) strong skills in quantitative data analysis using R (or Python or Stata) Experience with survey data, macro-level data, or text-as-data is an
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iterate solutions Evidence of intermediate to advanced skills in data and visualisation tools such as SQL, Python, RStudio, Power BI and Domo Strong communication and interpersonal skills (oral, written and
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tissue Experience with quantitative image analysis tools, multiplex imaging and/or spatial transcriptomics Coding skills (e.g., Python, R) for image or data analysis Please note: This role requires