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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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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 2 months ago
skills in programming languages such as Python. Have previous research experience, particularly in the energy domain. Additional Information Benefits Monthly maintenance allowance: the amount
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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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Science; Have knowledge of SQL, Python, ArcGIS, Power BI, Java, and SAS. Work plan and goals to achieve The work focuses on developing an Integrated Analytical Platform for Territorial Intelligence – Smart
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degree classification (20%); Proven experience in programming for Machine Learning in Python (20%); Proven experience in training and testing large language models in high-performance computing
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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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field. priority will be given to candidates with: skills in programming languages and/or tools, such as python, c++, and/or matlab; basic knowledge of artificial intelligence techniques; knowledge
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Qualifications • Master's degree in Bioinformatics, Data Science or related fields. Skills and Preferred Factors Proficiency in programming languages applied to data science (e.g., R, Python, and Bash, among
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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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applied to data science (e.g., R, Python, Bash, and SQL, among others) for processing, statistical analysis, and workflow automation. Practical experience in the processing, analysis, and visualization