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requirements include: Candidate should minimally hold a master’s degree in maritime transport, marine technology, computer science, or a related field. Excellent programming skills, such as Python, Matlab, C
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, Python, and SQL to manage, analyze, and validate large and complex datasets. Perform data cleaning, quality checks, and routine performance measurement analyses. Develop reproducible analytic code and
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systems or autonomous AI frameworks · Solid foundation in computational biology · Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX) · Strong analytical, problem solving, and communication
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component integration and strong programming skills in languages relevant to data science and web development (e.g., Python, JavaScript). You will also have excellent communication skills, with the ability
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Knowledge of programming, e.g., R, Python, etc. is preferred. The initial appointment will be offered on a fixed-term contract for up to six months. Re-appointment thereafter will be subject to performance
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de programmation scientifique (R, Python ou équivalent) ; • Manipulation de jeux de données volumineux et éparses ; • Intérêt pour l'analyse de grandes bases de données environnementales et
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statistical and/or multivariate approaches (proficiency in tools such as Python, R, or equivalent is desirable); * Ability to design, adapt, and optimize experimental protocols; * Strong analytical and critical
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independently. Able to work under pressure and meet deadlines. Key Competencies Proficient in Python or other equivalent programming languages. Strong foundation in data analytics and data-driven modelling. Able
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applications Familiarity with engineering software such as ABAQUS, ETABS, MATLAB, Python, or equivalent will be an advantage. Prior experience in laboratory testing, data analysis, or industry-related
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quantitative data and ideally historical data sources - Knowledge of descriptive statistics and statistical software (e.g. R, stata, Python) - Interest in economic sociology and political economy - Knowledge