5 modal-machine-learning Postdoctoral positions in Portugal

Public notice for an uncertain-term work contract for a Researcher reference 2025.017.CTTRI ACHILLES Agreement 101189689 funded by the European Union Application submission from August 27, to September 10, of 2025

INESC ID | Portugal | about 1 month ago

or related areas with research experience on self-adaptation techniques to enhance the efficiency of machine learning based systems. More in detail, a key requirement for eligibility is provable

Research Grant - Edital BIPD-ISISE-UMINHO-RADIANCE-101235536-B1

Universidade do Minho - ISISE | Portugal | 16 days ago

the formula 0,40PQ + 0,40PV + 0,20AI. PQ corresponds to the quantitative evaluation of publications in ISI/SCOPUS journals: in advanced statistical models (e.g., Machine Learning), as well as in programming

Public notice for one Post-Doctoral Research Grant - Refª BPD|2025/757 Proj. SWATE: Socially-Aware AI for Teamwork Enhancement and Training– Refª LISBOA2030-FEDER-00777100 funded by operation nº 16594, Balcão dos Fundos, FEDER and FCT

INESC ID | Portugal | 14 days ago

24 Sep 2025 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions Postdoc Positions Country

Public notice for one Post-Doctoral Research Grant - Refª BPD|2025/748 Project VERSACOMP – Refª 2023.18110.ICDT / LISBOA2030-FEDER-00869000 funded by operation nº 15038, Balcão dos Fundos, FEDER and FCT Application submission from 21Aug to 15Sept, 2025

INESC ID | Portugal | about 2 months ago

21 Aug 2025 Job Information Organisation/Company INESC ID Research Field Engineering » Computer engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country Portugal

Post-Doctoral Researcher (1 Vacancy) CES/27/2025-PD-CO3

Centro de Estudos Sociais da Universidade de Coimbra | Portugal | 16 days ago

to the context where the candidates learned and perfected both languages or to whether they are native speakers); (3) to what extent education and previous experience match the selecting criteria listed, and; (4