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About the Role Join an exciting collaboration between Coffee Afrik CIC and Queen Mary University of London's Health Equity Evidence Centre as Research Assistant in Health Equity. This unique
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programación (C/C++, Java, Python). - Conocimientos en sistemas inteligentes de transporte. - Conocimientos en diseño y desarrollo de sistemas en tiempo real. - Conocimientos de visión por computador
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engineering, maritime transport and management, computer science, or a related field from a good university; Excellent programming skills, such as Python, C++, Java, Julia, or other competent languages; A good
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, Abilities, and Competencies Strong mathematical foundation and programming skills in languages such as Python, Java, Julia, MATLAB, R, and/or C++. Expertise in one or more of the following: machine learning
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. Research Project: The ORISE participant will employ genomics approaches to pinpoint and validate genomic regions conferring resistance to coffee leaf rust (CLR). This research will support the development
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language (e.g., R, C/C++, Java) Proficiency with MS Office and/or Google Suite, particularly Excel/Sheets Strong verbal and written communication skills Ability to work independently and interact effectively
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opportunity Experience in machine learning and deep learning Proficiency in one or more high-level programming languages such as Python, Java, or R. Strong commitment to interdisciplinary research and a track
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Machine Learning; Expertise in Expert Systems; Good command of French (spoken and written) and English (spoken and written). Skills: Proficiency in object-oriented programming (Python, Java, JavaScript
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standard bioinformatics tools. Proficiency in scientific programming languages (e.g., Python, R, Perl, Java), in a UNIX/Linux and/or Windows environment. Preferred Qualifications Education: No additional
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data science and machine learning Additional software skills such as Shiny, LaTeX, Tidyverse, Tableau, C/C++, Java, GitHub Experience in report writing for projects underpinned statistics Attributes and