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infrastructures. Minimum requirements: - Knowledge of Software Engineering; - Knowledge of Computer Networks; - Knowledge of Distributed Systems; - Demonstrated experience in a professional context. 5. EVALUATION
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technologies; - Experience with CI/CD methodologies and technologies Minimum requirements: - Knowledge of Software Engineering; - Knowledge of Computer Networks; - Knowledge of Distributed Systems; - Proven
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factors: Prior experience in developing algorithms for biomedical image processing (especially aligned with the research group's areas) and machine learning/deep learning techniques. Prior knowledge of data
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.; - Experience with observability tools. ; Minimum requirements: - Solid Knowledge of operating systems, including kernel structures. - Proven experience with eBPF technology, supported by technical evidence (code
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of information and knowledge in collaborative virtual environments, incorporating best practices and interoperability with existing digital plat forms, and promoting the development of scalable technical solutions
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Education Institutions. Preference factors: - Experience in designing and implementing key-value stores; - Solid knowledge of heterogeneous storage stacks; - Experience with the C++ programming language
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or non-award courses of Higher Education Institutions. Preference factors: NLP thesis topic or experience with NLP, some knowledge or experience with the biomedical domain. Minimum requirements: Quality
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infrastructure. More specifically, this research grant aims to achieve the following objectives: • Exp and scientific and technical knowledge in real-time simulation, creating the conditions for the remote control
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insurance, supported by INESC TEC. 2. OBJECTIVES: - broaden knowledge of the state of the art in the specific scientific area of the scholarship - identify and select the appropriate methods for the study in
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. OBJECTIVES: - broaden knowledge of the state of the art in the specific scientific area of the scholarship; - identify, select, and implement the appropriate methods for the studies to be carried out