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Field
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, ensuring their relevance, scalability, and reusability. In parallel, the fellow will support the implementation of preliminary methodologies for constitutive parameter identification in Python, exploring
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: Preference will also be given to candidates with experience in: (a) population genetics and genetic data analysis of canids; (b) bioinformatics, including programming in Linux, Python, and R; and (c) oral and
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weighting of 50%. B2. Knowledge of programming languages for data analysis (e.g., R, Python), with a weighting of 50%. The Knowledge and experience classification (B) will be obtained by applying
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ADMISSION REQUIREMENTS: ……………………………………………………………………….. Bachelor’s Degree in Economics Enrollment in Master’s in Economics Basic Knowledge of STATA and Python Proficiency in the Portuguese language, spoken and
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digital humanities and data visualization; Experience using and intervening in CMS (namely, Wordpress and/or Drupal); Have proven programming skills (R, Python , PHP, SQL); Linguistic skills in
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methods; Experience in conducting field experiments is an advantage; Experience in statistical analysis using different statistical software (R, Python, or Stata); Fluency in English at an academic and
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 1 month ago
experimental practices—demonstrated through coursework, academic projects, or introductory participation in R&D activities (40%); Criterion 3: Basic programming skills in Python or C++, as well as initial
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vulnerability analysis of reinforced concrete buildings and probabilistic modelling of the seismic performance of buildings in Matlab and/or Python. A1.4.) Experience in seismic vulnerability analysis
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learning, deep learning, and natural-language processing, ideally evidenced by relevant coursework or projects; - Strong Python programming skills, with hands-on experience in key ML/LLM ecosystems (e.g
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, or related fields; Demonstrate proven research experience in causal inference, machine learning, and/or field experimentation. Possess strong programming and data analysis skills (e.g., Python, R, SQL, PyTorch