Organization profile

Profile Information

Universidade NOVA de Lisboa hosts 41 Research and Development Units (R&D Units). In 2013, the Portuguese Foundation for Science and Technology (FC&T) evaluated 75% of the R&D Units with “Exceptional”, “Excellent” or “Very Good”. Research at NOVA has been growing and developing, both at quantitative and qualitative level.

NOVA is the Portuguese University with the best performance at H2020 Framework Programme. It is worth highlighting that, since the launch of the European Research Council (ERC) Grants programme in 2008, NOVA’s researchers were awarded a total of 18 grants, placing NOVA as one of the top national institutions.

The improved performance of NOVA in terms of research can be seen in the international rankings’ scores and positioning. The good results achieved in the main rankings of Universities with less than 50 years, have granted NOVA the inclusion in YERUN (Young European Research Universities Network).

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Profiles

Antonio Manuel Baptista

baptista@itqb.unl.pt

Person: Academic

A. Coelho

DCT - Departamento de Ciências da Terra - Researcher

Person: Academic

António Jacinto

antonio.jacinto@nms.unl.pt

Centro de Estudos de Doenças Crónicas (CEDOC) - Researcher
NOVA Medical School|Faculdade de Ciências Médicas (NMS|FCM) - Invited Full Professor

Person: Academic

Research Output

(In)visibility of good and bad care practices in nursing homes: a vicious circle

Gil, A. P., 2020, (Accepted/In press) Gender, violence and affect: Interpersonal, institutional and ideological practices. Husso, M. (ed.). Palgrave Macmillan, (Plagrave Studies in Victims and Victimology ).

Research output: Chapter in Book/Report/Conference proceeding › Chapter

3D digital breast cancer models with multimodal fusion algorithms

Bessa, S., Gouveia, P. F., Carvalho, P. H., Rodrigues, C., Silva, N. L., Cardoso, F., Cardoso, J. S., Oliveira, H. P. & Cardoso, M. J., 1 Feb 2020, In : Breast. 49, p. 281-290 10 p.

Research output: Contribution to journal › Article

Open Access

5-year follow-up of spinal and sacroiliac MRI abnormalities in early axial spondyloarthritis: Data from the DESIR cohort

Madari, Q., Sepriano, A., Ramiro, S., Molto, A., Claudepierre, P., Wendling, D., Dougados, M., Van Der Heijde, D. & Van Gaalen, F. A., 5 Feb 2020, In : RMD Open. 6, 1, e001093.

Research output: Contribution to journal › Article

Open Access

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