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skills with R, C, C++ or Python. Desired: Knowledge or experience with spatial statistics, spatial modelling or GIS; Some knowledge with ecology; Excellent writing and communication skills; Experience with
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to optimise research outcomes. Advanced Data Cleaning and Analysis: Clean,engineer, prototype, and deploy statistical and machine learning models using Python and/or R to solve complex problems; maintain and
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analysis and data processing. Strong programming skills in R (preferable) and/or Python, and experience or interest in weather prediction or climate models. Knowledge of machine learning, AI techniques, and
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and electronics engineering, or computer science. • Have experience in programming languages (e.g. Python) and machine vision and signal processing algorithms. • Practical experience in electronic
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: Programming: Proficiency in languages such as Python, Java, C++, and scripting languages. Network Security: Understanding of network protocols, firewall configurations, intrusion detection systems, and network
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laboratory, and R/Python geospatial programming skills are preferred, or a willingness to quickly learn these skills. The ability to undertake fieldwork is essential, hence the candidate must be able to pass a
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implement machine learning algorithms for complex data analysis. Utilise advanced programming skills (Python, MATLAB, C) and image processing libraries to develop computational solutions. Publish research
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, Python, and/or C++) A strong track record of research output, including journal publications and conference contributions Expertise or strong interest in one or more of the following areas: Computational
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knowledge, skills and minimum of 5 years' experience with a commitment to ongoing professional development. Proficiency in programming languages including Python, JavaScript. Experience with Natural
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, building, and maintaining Infrastructure as Code (IaC) solutions using tools such as Terraform, AWS CloudFormation, AWS CDK, Azure Bicep, and ARM templates. Proficiency in automation/scripting with Python