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the research project - “Opportunities, challenges and emotional values when placing shops in repurposed buildings: A study of coffee shops in Hong Kong”. They will be required to: (a) assist in planning and
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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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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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Engineering or relevant field; Strong computer programming skills (e.g., C/C++/Java/Python, Matlab) are a must; Strong background in Data Analysis, Computational and/or Artificial Intelligence; Usage of Machine
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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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in programming with languages commonly used in AI development (e.g., Python, R, Java, C++, JSON). Experience in designing, developing, and evaluating AI/Machine Learning models. Excellent analytical
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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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the focused research areas of information visualization and visual analytics is a strong advantage. Good programming skills (Java, JavaScript, HTML5, WebGL/OpenGL) and a solid training in mathematics, data
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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 6 hours ago
experience programming in the Unix/Linux environment using Python, Java, C/C++, or Julia; must have experience with algorithms, numerical techniques, and computational methods, specifically for uncertainty