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fellowship type. The fellowship is due to start in 10/2025. . WORK PLAN: Optimization and production of the integral punch using Additive Manufacturing (AM) using Selective Laser Melting (SLM) technology. The
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at the signature of Fellowship contract. Working plan: participation in tasks: 1 (construction of paper platforms), and 2 (construction and optimization of genetic-based sensors). Applicable Legislation: Law nº.40
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description A Research Fellowship (BI) (Reference REQUIMTE 2025-62) on the project “FODMAPS - Food Optimization
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) Purification of infection-related protein complexes from endogenous sources. Establish optimal conditions for high-yield recombinant protein expression and purification of multi-subunit complexes and application
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Preparation of the Technological Infrastructure:Design, configure and optimize the hardware and software infrastructure necessary for the training, fine-tuning and deployment of LLMs on a large scale; Explore
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. Objectives: 1. Designing a base design for incorporating a modular battery; 2. Develop and calibrate a CFD model of the proposed design; 3. Create a prototype and validate the CFD results, and; 4. Optimize
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specifications. Design and development of urban mobility solutions: Usability, 3D modelling, structural analysis; optimization, integration and functional and performance testing. 6. Legislation and regulations
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objective of this project is to explore and apply Gen AI capabilities to optimize software testing processes, with a particular focus on test execution. The work aims to develop, implement, and evaluate a Gen
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LIP - Laboratório de Instrumentação e Física Experimental de Partículas | Portugal | about 2 months ago
(BI), to participate in the project “Radiation Physics and Biology at the cellular level: towards the optimization of clinical dosimetry”, with reference LISBOA2030-FEDER-00841000, operation 14855
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to be developed consists of: Data Structuring and Optimization for Language Models:Implement routines for the collection, cleaning, and pre-processing of educational data; Establish methodologies