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, statistics or mathematics. Demonstrated proficiency in at least one analytics scripting language (such as R, Python, Julia, MATLAB). Demonstrated ability to write packages/modules and distribute via CRAN/PyPI
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development technologies (e.g., HTML, CSS, JavaScript, Python, and/or PHP). Proven experience in integrating third-party algorithms into web-based platforms. Experience with database management, cloud-based
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programming microcontrollers, PLC’s and PC applications. Proficiency in programming languages such as C/C++, Python and Labview The ability to liaise with a broad range of staff and students together with a
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methods, the goal is to enhance the ability to identify and mitigate the risks posed by fraudulent online platforms. Required knowledge Python programming Machine learning background Text analysis Image
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, custom ringtones, specific genres). Required knowledge Python programming Machine learning background Audio analysis
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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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for: Passionate about optimisation, experimentation, AI and machine learning, and application of these technologies to business problems; Good coder with at least one of the major programming languages. Python is
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communication skills and an interest in working on projects of commercial relevance, required. Programming language (Python, R) knowledge • Understanding and interest in apparel and textile sustainability
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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