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Field
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? No Offer Description Mission: Optimize and maintain the server-side architecture that powers an application, ensuring that it operates efficiently, securely, and at the scale needed. Functions to be
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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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the training and optimization of AI/ML models for the physical layer of wireless communications. Generative AI models for wireless channel generation, e.g., generative adversarial networks or diffusion models
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equipment used to perform in-situ measurements during the development of the test to monitor the behavior of each device, and the optimization of the control software. 2. Analysis of the test results, which
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of the contract is the implementation of applications based on generative AI and LLMs for the optimization and management of distributed architectures, within the scope of the computing continuum (Cloud-Fog-Edge
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Institut de Recerca Biomèdica de Lleida, Fundació Dr. Pifarré (IRBLleida) | Spain | about 2 months ago
systems. •Data analysis and exploitation: preparation of management indicators and optimization proposals. •Preparation of periodic reports of results and support in internal and external audit processes
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materials. Basic principles: atmospheric pressure jet plasma systems in multiple modes optimized for polymer coating synthesis. Professional Experience: Experience in functions similar to those described will
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. Coordination with hardware, programming and data management teams. System performance monitoring and continuous optimization. Systematic thinking and orientation towards operational reliability. Ability
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nanocellulose. 01/10/2026 30/09/2027 12 meses Evaluation of sealing capacity for selection of optimal mixtures Evaluation of the behaviour of fibre-reinforced 01/10/2027
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FUNDACIO INSTITUT D'INVESTIGACIO EN CIENCIES DE LA SALUT GERMANS TRIAS I PUJOL | Spain | about 1 month ago
samples. MAIN RESPONSIBILITIES Analyze spatial transcriptomics and multi-omics datasets from cancer-patient samples. Develop and optimize bioinformatics pipelines. Integrate and interpret data to identify