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Field
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Science or related areas Admission requirements: Knowledge in Computer Science Additional optional skills and qualifications: Knowledge of Python programming, machine learning, natural language processing, databases
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) analysis for floating ORE systems. Experimental skills in ocean basin testing, instrumentation, and calibration of mooring and cable systems. Proficiency in Python and/or MATLAB applied to numerical
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Researcher at the University of Minho, Department of Industrial Electronics, Research Unit in Electromechanical Microsystems; - Member: Dr Paulo Jorge Teixeira de Sousa, Postdoctoral Junior Researcher
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
the Fortran and Python languages. 15. The jury may decide to select up to 3 candidates who will be called to hold a session presenting the results of their investigation, following which the jury
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1 (one) Research Fellowship(s) for R&D Initiation under Special Regime (BII-RE) for Bachelor Student
requirements: Knowledge in Computer Science Additional optional skills and qualifications: Knowledge of Python programming, machine learning, natural language processing, databases, life sciences, or biology
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Jesus de Oliveira, PhD, Postdoctoral Researcher at the University of Aveiro; Maria do Rosário Gonçalves dos Reis Marques Domingues, PhD, Associate Professor at the University of Aveiro; and Sílvia Maria
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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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univariate and multivariate statistical analysis methods and with bioinformatics tools, including MATLAB, SIMCA, R, Python, MetaboAnalyst, KEGG, Ingenuity Pathway Analysis and other software related to omics
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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