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to the project’s development. Deadline and form of submission The call for applications is open for 10 working days from the date of the publication of this notice on Euraxess. Applications and application support
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Development Fund (FEDER), through the National Innovation Agency (ANI), the Framework Programme Portugal 2030 – Programa Inovação e Transição Digital | COMPETE 2030, medida eixo SIID – Internacionalização de I
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factor: Experience in the experimental development of cellular biomimetic environments, namely in the breast cancer context, with non-neoplastic and neoplastic cells, in 2D and 3D culture (spheroids and/or
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to contribute to the development of knowledge, insight and solutions that are relevant to society and working life today and in the future? We are looking for a PhD research fellow within Renewable Energy
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, leading to significant carbon emissions and environmental concerns. Consequently, the development of greener and more sustainable urea production methods is imperative. The PEC4CROP project aims to develop
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at consolidating the research fellow’s scientific training through the development of research projects. The scientific work to be carried out consists of: 1. Modelling Interest Profiles and Teaching/Learning Styles
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). Goals and work plan The fellowship holder will carry out activities in support to the organization and technical-scientific development of the project, namely: Qualitative and quantitative data collection
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2030: Monitorização para a Gestão dos Ecossistemas Marinhos (MAR-016.9.1-FEAMPA-00010), according to the following conditions: Work plan: - Development of new Coastnet indicators; - Harmonization
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, the call for applications for which will be published on the Euraxess portal under reference Lab2PT/T.E.R.R.A-E-BI/01, under the following conditions: Scientific Area: Architecture Recipient category: Bachelors
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that are only partially met by the development of special purpose classical computing units. This has motivated a recent interest in using quantum computing to machine learning tasks, in particular to clustering