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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
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• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.) • Literature review/summarizing skills
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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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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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with behavior, and/or developing in silico models of neural activity. Research activities will mainly rely on computational and data-processing tools, including Matlab, Python, and software for neural
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and field experiments to evaluate restoration technologies and their effects on coral performance. ● Analyze biological and environmental datasets using Python, R, and related computational tools
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in triaxial testing and constitutive modelling Excellent programming skills, such as Python, MATLAB, or other competent languages. A good record of publications in reputable peer-reviewed journals
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control software, data-acquisition routines, and automated calibration sequences (primarily in Python). Perform numerical simulations and modeling of atomic and many-body systems to support experimental
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). The RAs will help us to improve an existing Python code base for creating 3D models of ancient artifacts from large datasets of 2D images. The main qualifications are prior experience working on large
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astrophysics, physics, cosmology or a related field; strong scientific programming skills (Python); research experience in supernova cosmology, statistical or systematic-uncertainty analysis, or large-scale