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ARE INESC-ID (www.inesc-id.pt ), “Instituto de Engenharia de Sistemas e Computadores: Investigação e Desenvolvimento em Lisboa” is a Research and Development and Innovation Organization (R&D+i) in the fields
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plan: The work consists of developing models for the prediction of biological control agents (BCAs), using different approaches: Machine Learning (random forests, support vector machines, lasso), Deep
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- Electrospun Nanofibres for Functional and Customizable Medical Films - CENTRO2030-FEDER-01469100”, funded by the Regional Centre Program (Centro 2030) _PT2030, through the European Regional Development Fund
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the following conditions: The general objectives of the work are to develop microbial formulations with biostimulant potential, which increase the resilience of chestnut trees to biotic stresses (disease-causing
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methods, preferably SDS-PAGE, Western blot, MTT, PCR, ELISA, HPLC-SEC, DLS, and mass photometry; Experience in data analysis and visualization using statistical tools; Experience in method development and
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for the subsequent development of microbial formulations to control pathogenic fungi in chestnut trees. The tasks to be developed are part of the MicroHealthChest project and consist of: 1. Support in the collection
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at the development of a rapid bacteriophage-based and culture-independent point of care (POC) device to profile nosocomial bacteria in respiratory tract infections. 2. Applicable Legislation Decree-Law no. 57/2016
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related areas. Objectives: This scholarship is part of the GreenSET project, which aims to develop a new technology for the production of epoxy-based biocomposites using only monomers from renewable sources
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for carrying out the activities foreseen in no. 2 of art. 7 of Regulation no. 487/2020, of May 22nd. Specifically, the Doctorate Initial level will develop R&D activities in the scope of Project 2023.15491.PEX
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of Decree-Law nr 74/2006, from 24th March , in its current version, as long as they are developed in association and cooperation between a higher education institution and at least one R&D Unit in accordance