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, contributing to the following tasks: Task 1: Creation of business partner networks and definition of working methodologies for implementing the Mediterranean Diet (MD) in products, processes, menus/dishes, and
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Recognised Researcher (R2) Positions Postdoc Positions Country Portugal Application Deadline 16 Oct 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job
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GREET The GREET Doctoral Network (Generative Explainee-aware Explainability and Transparency in Proactive Cyber-Physical Eco-Environments) brings together 13 leading universities, research institutes, and
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2025-48) to pursue scientific research activities in the project “Phage Sensors Integration for Rapid Profiling of Nosocomial Respiratory Tract Infections and Antimicrobial Resistance Genes”, funded by
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– Distributed Access Design for Cell-less Smart 6G Networks. This project is funded by FCT/MCTES through national funds and when applicable co-funded EU funds under the CELL-LESS6G – 2022.08786.PTDC project
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) Positions Postdoc Positions Country Portugal Application Deadline 31 Oct 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Offer Starting Date 1 Dec 2025 Is the
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 21 days ago
Workplan: The tasks to be carried out focus on planning the network of home hospitalization units, combining demand forecasting and optimization. First, patient data and contextual variables, such as disease
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Researcher (R2) Positions Postdoc Positions Country Portugal Application Deadline 1 Oct 2025 - 23:59 (Europe/Lisbon) Type of Contract Temporary Job Status Full-time Hours Per Week 35 Is the job funded through
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of databases of companies operating in the hotel, restaurant, and food industries (preferably in central Portugal) Task 2: Establishment of business partner networks and definition of working methodologies
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based on metrics and social network analysis. The objectives of this research are to identify which data-driven criteria categorize a person as an influencer in the financial context; examine variations