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AND TRAINING: 1. Study and propose circuit architectures for the control of electronic devices (Schottky diodes, memristors), with emphasis on scalability and integration efficiency.; 2. Design
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testing in a laboratory environment and support for installation at the company.; 6. Writing an activity report. 4. REQUIRED PROFILE: Admission requirements: Master's degree in electrical and computer
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resource utilization, leading to performance losses and excessive energy consumption. The problem is exacerbated in distributed environments, where hundreds or thousands of GPUs operate suboptimally
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implement computer vision algorithms in a hospital environment to support the management of gastric cancer. More specifically, we intend to evolve algorithms that detect and quantify the presence
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software delivery system; - Experience with the FastAPI framework; - Experience with the Angular framework; - Experience in collaborative environments and collaborative tools for version control (Git, CI/CD
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, and widely applicable observability solutions. At the same time, the results obtained will contribute to defining a best-practices guide for the use of eBPF in HPC environments, taking into account
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, identifying potential optimization opportunities.; ; Design of novel solutions capable of:; - monitoring GitHub Actions execution environments, enabling the identification or blocking of suspicious actions
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.; • Conduct the installation and integration of the characterization system within the laboratory environment.; • Execution of functional tests to validate the system’s performance and compliance
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programming. - Development of IT tools for use in real environments. - Knowledge of simulation methodologies. Minimum requirements: Past experience (or academic training) in Artificial Intelligence, algorithms
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of Python programming. - Development of IT tools for use in real environments. - Knowledge of simulation methodologies. Minimum requirements: Past experience (or academic training) in Artificial Intelligence