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machine learning methods • Proficiency in transport planning software such as EMME or PTV Visum. • Programming expertise in at least one language, e.g., Python, Java, or C++. • Strong written and
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technical reports, system documentation, and academic publications. Proficiency in job-specific technical skills, including programming and software development (e.g. Python, C++, Java, or similar languages
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in data extraction. Specifically, the candidate will develop Python or Java code that extracts data from printed population registry books that have been digitized + OCR text recognized. Data will be
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research contributions. Strong programming and software-engineering experience in languages and environments relevant to the lab’s work, such as Python, C/C++, Java, JavaScript/TypeScript, containerization
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, intelligent transportation systems, transportation data analytics, AI/machine learning, Web-based transportation systems, or database development; Strong programming skills in Python, C++, MATLAB, Java
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and sports clubs • Discounted bus travel and travel loans • Weekly coffee and cake mornings, and social events throughout the year This role is based in Oxford, and offered on a full-time basis
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cognitive science, cognitive psychology, developmental psychology, or ethology is expected. Proficiency in a programming language (e.g., Python, Java), as well as in data analysis (e.g., R, MATLAB), will be
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optimization algorithms is highly desirable Excellent programming skills in Python, C++, Java, Julia, or other relevant languages Knowledge of maritime decarbonization and alternative fuels is a plus A good
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, and skills in C, Java or Python/SageMath are a plus. Good writing and communication skills are requested, together with the ability to work independently as well as in a team. A good English level is
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++, Java, Julia, or other competent languages. A good record of publications in reputable peer-reviewed journals in maritime transport, logistics management, machine learning, deep learning, and optimization