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in applied optimization • Knowledge of digital twins • Experience in data analysis and visualization. Minimum requirements: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge
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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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analysis, including time-domain, spectral, and statistical analysis; Programming experience in C/C++ and Python; Knowledge of development in an embedded Linux environment; Experience producing scientific
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analyses; Familiarity with mass spectrometry data and microbial identification; Experience with Python for data science. EVALUATION CRITERIA The selection will be based on the following criteria: 50
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of digital signal processing and data analysis; Knowledge of applied mathematics, statistics, and estimation; Knowledge of scientific programming in Python and/or MATLAB; Programming experience in C/C
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; • Experience in data analysis and visualization. Minimum requirements: • Experience in Python; • Knowledge of optimization algorithms; • Knowledge of modelling or simulation. 5. EVALUATION OF APPLICATIONS AND
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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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of Article 7, Postdoctoral research fellowships of the Research Grants Regulations of the Foundation for Science and Technology or paragraphs 1 of Article 6 of the University of the Algarve’s Research