44 evolution "https:" "https:" "https:" "https:" "https:" "University of St" "St" research jobs at Universidade de Coimbra
Sort by
Refine Your Search
-
will be directly involved in the development and physicochemical characterization of new nanosystem formulations for drug delivery, namely lipid- and polymer-based formulations, and hybrid ones. In
-
of the grant: André Manuel dos Santos Mendes IV - Work Plan / Goals to be achieved: Research and project activities will be carried out in the field of Power Electronics, focusing on the development
-
in collaboration with the multidisciplinary team. I.4. Gross monthly wage: 2.351,53 euros, corresponding to the 1.st position, wage level 33 to the single remuneration table, approved by Ordinance nr
-
: European Regional Development Fund (ERDF), through the Regional Program of Centro (CENTRO2030) of Portugal 2030. Project reference: CENTRO2030-ERDF-02614400. I. Reference, Place of Work and Monthly Wage I.1
-
Regional Development Fund (ERDF), through the Regional Program for the Central Region (CENTRO2030) of Portugal 2030. I. Reference, Place of Work and Monthly Wage I.1 Public tender reference: IT057-25-16302
-
Programs, if applicable. It is expressly mandatory to use the FCT logo available at http://www.fct.pt/logotipos/ and, when applicable, the logos of the European Union and the Operational Programme
-
of liquid chromatography systems (FPLC), development and optimization of chromatographic methodologies for the purification of nucleic acids and delivery vectors, as well as experience working in GMP-like
-
supervision/coordination of the grant: Jerôme Amaro Pires Mendes. IV - Work Plan / Goals to be achieved: To contribute within a research team to the design, conception, and development of management and
-
Pires Mendes. IV - Work Plan / Goals to be achieved: Contribute within a research team for the design, conception and development of solutions for managing and optimizing industrial systems. The plan
-
in several tasks within the project’s work plan, including: - Development of deep learning models (e.g., convolutional neural networks and vision transformers); - Presentation of results at consortium