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propose a new design and implement a proof of concept for a tiering-based storage system that leverages multiple hierarchical storage devices, such as persistent memory, NVMe SSDs, and CXL, and that enables
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dynamic dashboard based on the pre-specified requirements;; - Monitoring and ensuring seamless interaction between the developed APIs and the NEXUS platform;; - Simulation, testing, and validation
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of this project is to create a radiomics and radiogenomics based approach to describe and create predictive models to characterize lung cancer based on a non-invasive methodology. 3. BRIEF PRESENTATION OF THE WORK
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norms. Selection criteria: The selection of the candidates will be based on the following criteria, in descending order of consideration: a) Relevant Curriculum in the concerned field of this tender b
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that provides AI-based suggestions. The work will consist in the improvement and evolution of previously developed models, as well as interacting with project partners to integrate algorithms and conduct field
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waveguide setups and development of PCBs for reconfigurable intelligent surfaces (RIS).; 2. Implementation, testing, and optimization of RIS control algorithms on microcontroller-based platforms.; 3
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and submission of a scientific publication based on the results.; 5. Prepare the technical activity report within the scope of the research grant.; 4. REQUIRED PROFILE: Admission requirements: MSc in
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. OBJECTIVES: The interest in direct current (DC) power distribution systems has been growing significantly, driven by the increasing use of power electronics-based loads and the rise of distributed energy
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) project aims to develop a system based on artificial intelligence (AI) and computer vision for the automatic detection of REM sleep behavior disorder (RBD)-specific behaviors in polysomnography (vPSG
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requirements: Solid knowledge of programming and signal processing, based on Matlab or Python. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase