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- ISCTE - Instituto Universitário de Lisboa
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in the field of multicore fibre (MCF) technology. MATCH (Multicore Fiber - Applications and Technologies - Match) is a Marie Sklodowska-Curie doctoral network funded by the European Commission under
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fully-funded PhD position within the Marie Skłodowska-Curie Doctoral Network DECADOCS – Decadence for doctoral studies. DECADOCS is the first European doctoral network dedicated to the study of decadence
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Programme? Not funded by a EU programme Reference Number MED - Montados Net Zero - BI Phd Student Is the Job related to staff position within a Research Infrastructure? No Offer Description MEDITERRANEAN
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to develop innovative and breakthrough research in the field of multicore fibre (MCF) technology. MATCH (Multicore Fiber - Applications and Technologies - Match) is a Marie Sklodowska-Curie doctoral network
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analysis methods, including mixed-effects survival models and mixed-effects models applied to plant growth; experience within a Bayesian framework is highly desirable. 3. Strong skills in data analysis and
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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 | 5 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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Archipelago, integrating it into the global e-CALLISTO network. The project will deploy new-generation spectrometers and antennas to fill the observational gap over the North Atlantic, enhancing global space
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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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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 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