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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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CIIMAR - Interdisciplinary Center of Marine and Environmental Research - Uporto | Portugal | 6 days ago
performance and experience relevant to the scientific area and the project work-plan, including participation in R&D projects (especially the areas valued in point 2 of this notice) and international networking
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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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24 Sep 2025 Job Information Organisation/Company FCiências.ID Department HR Research Field Environmental science » Ecology Researcher Profile Recognised Researcher (R2) Positions Postdoc Positions
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therein must be fulfilled by the date of the act of contracting. Preferred conditions a) Leadership of scientific research projects. b) Participation in multi-institutional networks and community engagement
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activity of the elements that make up the renin-angiotensin-aldosterone system (RAAS) – 10% g) Statistical analysis of experimental data – 5% h) Proficiency in English (written and oral) – 5% 11.3
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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 3 days ago
with Machine learning approaches, to refine the ataxin-3 network. The most affected PPIs, will be validated using commercial fibroblasts from MJD patients, and standard molecular tools such as Western blotting
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social networks; Plan, produce and edit audiovisual content; Ensure the communication and dissemination of science; Assist in data processing and analysis; Produce reports on platform activities; Assist in
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Area: The scientific area of this competition is Psychology. 2. Applicable Legislation: The competition and hiring process are governed by the provisions of Regulation no. 487/2020 - Regulations
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, foreseen in the application: 1-Development of the SUPERB framework 2- Definition of building classes and numerical models for physical vulnerability assessment 4-Definition of baseline data reflecting