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visualisation (libraries such as Three.js, OpenGL, VTK, or similar); - Advanced knowledge of optimisation algorithms; - Previous experience with software development for logistics problems; - In-depth experience
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-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - To broaden knowledge of the state of the art in the specific scientific area of the scholarship
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infrastructure.; • Practical knowledge or familiarity with programming languages such as Python and/or C/C++.; • Practical knowledge or familiarity with electronic circuit design, simulations, and PCB layout
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. The awarding of the fellowship is dependent on the applicants' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Knowledge of concurrent programming and
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Education Institutions. Preference factors: - Experience with deep learning frameworks, including PyTorch, TensorFlow, and DeepSpeed.; - Knowledge of performance and energy consumption optimizations designed
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' enrolment in study cycle or non-award courses of Higher Education Institutions. Preference factors: - Solid knowledge of access control mechanisms applicable to database engines; - Experience implementing
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cycle or non-award courses of Higher Education Institutions. Preference factors: - Experience with C/C++ programming language. Minimum requirements: - Solid Knowledge on storage systems; - Knowledge
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the field of robotics.; • Experience in R&D projects Minimum requirements: - Proven knowledge of containerization tools such as "Container", "Podman", and "Distrobox" - Ability to read and interpret code in C
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systems. Minimum requirements: Knowledge of C/C++ and/or Python programming. Basic understanding of mechatronic systems control and robotics. Basic knowledge of artificial intelligence. 5. EVALUATION
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requirements: - Solid knowledge of file systems, block devices, and operating systems; - Knowledge of I/O optimizations (e.g., scheduling, caching, deduplication); - Experience using the Intel SPDK platform