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)medical or nutritional sciences.Preferably you have experience with working with large datasets in statistical software packages such as R, Python or SPSS. Proficiency in English at C1 level or higher (CEFR
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considered an advantage. Candidates should have programming skills in Python, R, or similar languages and be motivated to develop advanced modelling tools for sustainable transport planning. Your master’s
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technology, consumer influence, data science, artificial intelligence, computational modeling, reasoning and knowledge representation, digital communications, UX. • Programming in Python, R, SQL; experience
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collaboratively in an international research environment Preferred qualifications: Proficiency with a relevant data-analysis environment, preferably Python or R, and SPSS Background in comparative higher education
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to organic synthesis and properties of organic molecules, is an advantage. good knowledge of data curation and plotting, electronic laboratory notebooks, Python or similar, are merits. excellent grades from
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machine learning research software, preferably using Python and PyTorch. An interest in foundation models, self supervised learning, multimodal learning, and 3D perception. An affinity for translating
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, HVDC systems and inverter-based resources. Experience with PSCAD, EMTP, RTDS, OPAL-RT, PowerFactory or MATLAB/Simulink. Programming experience in Python, Julia, MATLAB, C/C++ or related languages
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, or computer science. Core competencies: solid background in quantum many-body physics strong programming skills (Python required, Rust a plus) experience with tensor networks, variational Monte-Carlo, machine learning
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of the Scientific Research Grant Holder, approved by Law No. 40/2004, of August 18, in its current wording; FCT, I.P. Research Grant Regulations, in force (https://www.fct.pt/wp-content/uploads/2026/01
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with experience applying these models to practical applications for real-world challenges. Good programming skills, Python is mandatory, other languages (e.g., Java, C++) will be considered a plus to