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genomics data, writing Python code for data analysis, and a downstream R pipeline for post-processing data using standard Bioinformatics libraries from Bioconductor. There will be opportunities
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strong programming skills in Python, and experience in at least one of the following areas: virtual reality development, machine learning, analyzing and modeling complex data, motion capture, character
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the ability to perform reasoning and generate novel insights from the represented data. Candidates should be proficient in Python, and ideally have some expertise in one or more of the following areas: digital
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organisational abilities for project planning, data analysis, manuscript preparation, and grant writing. Have a good understanding and knowledge in statistical methods using R, Stata, Python, or SPSS. Appointments
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solutions, develop machine learning/AI pipelines and deploy these pipelines in production. You can demonstrate experience in programming languages (e.g., Python, R, C++), software engineering (e.g., coding
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approaches. • Develop scripts, automations, and cloud workflows using tools such as Python, PowerShell, Terraform, or CloudFormation. • Create and maintain architecture documentation, cloud security baselines
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related discipline. Two (2) years of full-time experience performing informatics-related work. Experience using EMR systems and Microsoft Office Suite. Experience using Python, SQL, and data analytics tools
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, Cybersecurity, Java, and Python. Evaluate student performance and record grades. Ensure students who successfully complete programs receive grades, digital badge (if applicable), and access to certification and
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sources. Implement predictive, rule-based, or optimisation-based control strategies using MATLAB/Simulink, Python, or embedded software tools. Integrate controller logic with the microgrid model and
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or ROS 2 for real-robot software integration. Proficiency in Python and C++, with experience developing and maintaining production-level code. At least 2 years of experience in robotics research