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monthly bank transfer to an account held by the grantee 5 | OBJECTIVES/WORKPLAN - Investigation on new stream-based reconfigurable architectures for specific application domains, aiming at architectural
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20 Apr 2024 Job Information Organisation/Company Università degli studi di Camerino Research Field Architecture Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage
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Architectures, or related areas. By the grant start date, the candidate must be enrolled in a MSc programme – art. 6º, n.1 https://files.dre.pt/2s/2019/12/241000000/0009100105.pdf or a non-degree programme – art
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | about 1 month ago
Skills/Qualifications Admission Requirements: Master in Naval Architecture and Ocean Engineering, or similar areas and to be enrolled a course that does not award an academic degree Additional
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tools.; - Experience using HPC environments (e.g. SLURM).; Minimum requirements: - Solid knowledge of deep learning architectures and tools (i.e. TensorFlow, PyTorch, GANs, CNNs). - Solid knowledge
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an average final grade greater than or equal to 14 points (scale 0 to 20). • Proven knowledge of computer architectures, streaming architectures, parallel processing, as well as experience in gem5 or Spike
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
Architecture and Ocean Engineering. Duration: The research fellowship(s) will have the duration of 3 months. It’s expected to begin in March 2024, and may be renewed. It is mandatory to formalize applications
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maintainability will be included in the design and realization process. The selected candidate will be involved in the definition of the WSN system requirements, system architecture design, design the embedded
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architectures, training strategies, etc,…) for processing spatio-temporal data, e.g., multiple time series whose relationships are described by a graph. Enhance the capabilities of existing deep-learning models
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machine learning models for time series and graphs. One of the main goal will be to push the boundaries in the field of relational deep learning by: Creating innovative tools (novel architectures, training