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experience in a professional context; - Experience in developing software based on JavaScript (ReactJS, NodeJS) and Python; - Experience with the use, integration, and development of APIs; - Experience in
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learning. Experience in scientific programming (e.g., Python and/or MATLAB) and code management tools. Good knowledge of written and spoken scientific English. 5. EVALUATION OF APPLICATIONS AND SELECTION
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; Conhecimento de programação em Python e R; Conhecimento em análise de Bases de Dados Relacionais; Participação em conferências e seminários na área do concurso; Envolvimento em ações de divulgação científica e
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holding a Bachelor’s degree in Oceanography, Geophysical Sciences, or related fields, who meet the following requirements may apply: a) Knowledge of python – information provided in the CV and/or motivation
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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
knowledge of the TCP/IP stack and Linux; - proven experience in programming with C++ and/or Python; - research and development experience in the field of computer networks; - solid knowledge on PHY rata
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Computer Engineering, Computer Science, or a related field. - Solid programming skills (e.g., Python, C/C++, MATLAB). - Knowledge or strong interest in at least one of the following topics: Image/video
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: Research Topic #1 – Automatic User Requirements Assessment for On-demand Emerging Wireless Networks - solid knowledge of the TCP/IP stack and Linux; - proven experience in programming with C++ and/or Python
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utilizing modern programming tools and languages tailored to the project's requirements (e.g., Python, JavaScript, Django, among others). The activities may also include testing and validation on both
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
converting wave energy into electricity and programming (in the FORTRAN, MatLab or Python programming languages chosen by the candidate): 40% (score from 1 to 20). Composition of the selection Jury: Sérgio
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artificial neural networks and fuzzy systems for KPI aggregation; Knowledge in data engineering, Python, and real-time data analysis. Generic Scientific Area: Electrical Engineering or Computer Engineering