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(Task T2.4). Implement algorithms for training with limited data (Task T3.1). Develop prototypes for use cases in Smart Cities (Task T4.3). These tasks are part of the IDEALCV-CM project, reference: TEC
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glass structuring is very welcome. The successful candidate will contribute to both technical innovation and Pilot Line development in collaboration with academic and industrial stakeholders. Key
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RESEARCH SUPPORT STAFF GROUP II IN THE RESEARCH AREA OF MONITORING IN MARINE ECOSYSTEMS (C-079/25).More information: https://tablon.upct.es/anuncio/ JlbxmQoO5 X Deadline for submission of applications: 9
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: Develop the business plan for the services proposed by the agri-logistics project. Functions to b developed: Analyze the environmental sustainability of an agricultural sector supply chain. Propose a
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the sustainable operation of the Agri-logistics project. Oversee the development, review and quality assurance of project deliverables. Design and implement a governance model. Where to apply Website https
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written by humans and large language models. Months 5-6. Development of green algorithms for syntactic analysis of natural language using HPSG grammars Where to apply Website https://sede.udc.gal/services
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Fundació Institut de Recerca i Innovació en Ciències de la Vida i de la Salut a la Catalunya Central | Spain | 3 months ago
the needs and improved quality of life of people, and to create an innovative ecosystem that fosters territorial development and provides the products and services that society demands. In August 2024
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glass structuring is very welcome. The successful candidate will contribute to both technical innovation and Pilot Line development in collaboration with academic and industrial stakeholders. Key
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for three consecutive periods (2014-2018 and 2018-2022 and 2023-2026). ICN2 comprises 20 Research Groups, 7 Technical Development and Support Units and Facilities, and 2 Research Platforms, covering different
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measurements Calibration of materials as sensors to measure temperature, oxygen, and pH values in cells Development of models based on artificial intelligence algorithms to interpret luminescence signals Study