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Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 11 days ago
, including advanced statistics, spatial dispersion and concentration methods, Python and/or R programming, and/or Network Analyst (considered an asset); Experience in dashboard development and publication
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surface waters, preferably in estuaries; Experience in fieldwork and processing of oceanographic data (in particular CTD data); Knowledge of MATLAB or Python; Experience in numerical modelling; Fluency in
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programming experience, preferably in Python. Familiarity with astronomical data analysis, photometry, spectroscopy, galaxy evolution, or the analysis and visualisation of scientific datasets will be considered
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Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial | Portugal | about 2 months ago
will be carried out in INEGI or FEUP facilities in Porto. 4. Academic Qualifications: Master’s degree in mechanical engineering. Proficient knowledge of programming languages such as Python or others
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building optical imaging systems; Experience developing acquisition/control software; Proficiency with optomechanical components; Programming experience in Python or C++. Non-compliance justifies exclusion
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(e.g., Python, Fortran, and task automation in a Linux environment) (25%); ii) scientific output (e.g., published scientific articles, conference proceedings in the field of air quality) (25%); iii
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project research; - to build or help build scripts (Python or equivalent) to trace the spread of the aforementioned vocabulary in early modern print; - build up a taxonomy of early modern prisca-related
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the following tasks: - to build up a full ‘prisca’ vocabulary in Latin, English, and at least one other language included with the project; - building or help building scripts (Python or equivalent) to trace
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and identify green skill gaps within the prison context. Phase 2: Data Modelsling and Structuring: Utilize data analysis techniques (e.g., Python and statistical modelling) to process information
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curricular evaluation purposes, proven skills in programming, preferably Python; machine learning and artificial intelligence; language models and retrieval-augmented generation (RAG); ASR/TTS; diarisation