10 evolution "https:" "https:" "https:" positions at Faculdade de Ciências e Tecnologia
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plan includes participation in and development of scientific activities within research projects on energy efficiency, building renovation and energy poverty, as well as dissemination and communication
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. The application must be completed by filling in the relevant application form, which is available at http://www.fct.unl.pt/faculdade/concursos/docentes , where the candidate must state their consent
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INV.JUN.17.2025 - DCM | JUNIOR RESEARCHER | MATERIALS ENGINEERING, NANOTECHNOLOGY AND RELATED FIELDS
an emphasis in the Development of solar cell and module technology based on perovskite semiconductor materials and tandem architectures, under a fixed-term employment contract, under the terms of Decree-Law No
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Materials Engineering, Nanotechnology and related areas, with an emphasis on the development and integration of sensors for monitoring temperature, structural degradation and humidity based on printed
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learning, and the demands of the professional world, with the aim of supporting the development of competences, employability and entrepreneurship among users. From a technological perspective, the
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Engineering, with emphasis on Development and processing of peptides and proteins for materials, on an open-ended employment contract, under the terms of Decree-Law no. 57/2016, of 29 August, amended by Law no
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Development Fund (ERDF) program. In compliance with paragraph h) of Article 9 of the Constitution of the Portuguese Republic, the New University of Lisbon, as an employer, actively promotes a policy of equal
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Life Sciences, sub-area of Structural Biology, with emphasis on Structure based drug development, within the scope of the project CryoEM@NOVA, funded by European funding (European Comission), under
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(Ref. 2024.07664.IACDC), which is supported under the measure “RE-C05-i08.m04 – Support the launch of a programme of R&D projects focused on the development and implementation of advanced cybersecurity
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) Proficiency in scientific programming tools and development of machine learning algorithms applied to biomedical data (preferably Python and MATLAB); e) Skills in managing computer equipment for advanced