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work scheduled at ISEP's Research Group, iBuilt – Center of Innovation in Digital Construction. The activities and research work to be developed by the PhD researcher fall within the scope of iBuilt
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Group is focused on the development of technologies for the understanding and diagnosis of diseases in close collaboration with the clinic towards the realisation of precision medicine. For this, we focus
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Researcher, you will be responsible for carrying out research and development activities and all other scientific and technical activities within the scope of the missions of the respective Organic Unit and of
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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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requirements: Presentation of the academic qualifications and/or diplomas, if applicable. Enrolment in Master’s in Informatics Engineering. Work plan: The work consists of the development and implementation
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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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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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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