71 machine-learning "https:" "https:" "https:" "https:" "https:" "Bournemouth University" positions at University of Aveiro
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
admitted. Applications must be formalized by sending a letter of application accompanied by the following documents: (1) Application form for research grants, available at https://www.ua.pt/en/sgrh/bolseiros
-
documents: 1) Application form for research grants, available at https://www.ua.pt/en/sgrh/bolseiros ; (2) Curriculum Vitae; (3) Academic degree certificate; (4) Proof of enrollment or Declaration of Honor
-
Additional Information Website for additional job details https://www.cesam-la.pt/en/calls/research-grant-under-the-project-proaqua-2/ Work Location(s) Number of offers available1Company/InstituteCESAM
-
Degree or equivalent Research FieldBiological sciences » BiologyEducation LevelMaster Degree or equivalent Additional Information Website for additional job details https://www.cesam-la.pt/en/calls
-
Degree or equivalent Research FieldChemistryEducation LevelMaster Degree or equivalent Additional Information Website for additional job details http://uaonline.ua.pt/detail.asp?c=97113 Work Location(s
-
17 Mar 2026 Job Information Organisation/Company University of Aveiro Department Department of Electronics, Telecommunications and Informatics Research Field Engineering » Computer engineering
-
Additional Information Work Location(s) Number of offers available1Company/InstituteDepartment of Medical Sciences, University of AveiroCountryPortugalGeofield Contact City Aveiro Website https://www.ua.pt
-
or equivalent Research FieldPhysicsEducation LevelBachelor Degree or equivalent Additional Information Website for additional job details https://www.ciceco.ua.pt/files/edital_pt_smartpack.pdf Work Location(s
-
. Where to apply E-mail lcarlos@ua.pt Requirements Research FieldPhysicsEducation LevelMaster Degree or equivalent Additional Information Website for additional job details https://www.ciceco.ua.pt/files
-
computer vision to analyze photos and thermal images. Objectives include data collection, improving available degradation models, new machine learning-based classification and risk assessment methods, and