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(Python, C++, etc.). Experience in mathematical programming and/or optimization software such Pyomo, GAMS or similar. Proficiency in process simulation software (Aspen Plus, Aspen HYSYS, etc.). Experience
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in programming for data analysis and algorithm development (e.g. Python, MATLAB). Strong analytical skills and the ability to critically evaluate technical and scientific literature. Excellent
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and statistical methods, including applied econometrics and panel data analysis, proficiency in a statistical programming language such as R (preferably), Python, or Stata. Prior exposure to firm-level
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or publications; Have experience with Python programming and the use of high-performance computing infrastructure for AI research; Have excellent written and verbal communication skills; Have the ability to work
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/ ) Principal Investigator (PI) of the project Imanol Torre Thesis co-director Antonio D. Masegosa Arredondo Requirements Specific Requirements Qualifications required Programming skills in Matlab and/or Python
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interest in data analysis, modelling, statistics, and machine learning. Experience in spatial data analysis (GIS), scientific programming (Python, R, or equivalent), or artificial intelligence will be
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | 3 months ago
, or parameter identification Proficiency in Python and frameworks (e.g., PyTorch, TensorFlow) Knowledge of HPC, scientific computing, cloud computing, MLOps, or scientific software development Relevant scientific
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and quantitative analysis in MATLAB and Python, with shared code or analysis pipeline, and demonstrated readiness to lead independent research, mentor trainees, collaborate across engineering and
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and materials synthesis, as well as state-of-the-art spectroscopy. We value personal development: you will receive training in advanced spectroscopy, data analysis (e.g., Python or MATLAB), and
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Strong Python skills and experience with data manipulation Basic machine learning knowledge (equivalent to at least an introductory course) Additional skills (nice-to-haves) Experience with website