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-scale firm-level or related datasets. Proficiency in Python and/or Stata for data management, statistical analysis, and empirical research. Experience in merging and managing large datasets from multiple
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can derive by hand and build up to large-scale calculations. You will need a background in condensed matter physics / quantum mechanics and an interest in coding (Python); no prior experience with
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, or an equivalent qualification; (b) strong programming skills (e.g. Python) and experience with machine learning or deep learning frameworks; and (c) good communication skills in English, and the
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learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL • Organic synthesis, polymer chemistry, synthesis
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background in non-linear EEG methods, spectral analysis, and network-based approaches to sleep dynamics. The ideal candidate will have extensive experience in Python programming and be proficient in handling
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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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knowledge of deep learning, multimodal AI models, Vision-Language-Action models, or related technologies. Proficiency in Python programming and experience with deep learning frameworks such as PyTorch
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de datos. Programación en R o Matlab (o Python). Análisis y modelado de series temporales mediante técnicas ARIMA. Redacción de informes técnicos. Publicación de resultados como artículos científicos o
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phase-field simulations. Experience in developing AI or machine learning models for physics-based scientific or engineering applications. Proficiency in Python, scientific computing and machine learning
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stakeholders and the Accreditation team. Using tools such as Excel, Power BI, Tableau and programming languages including Python, SQL or R, the Data Analyst transforms large and complex datasets into clear