82 machine-learning-"https:" "https:" "https:" "https:" "https:" "UCL" positions at Universidade de Coimbra
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Carlos António Bastos de Morais Guerra Effective Members: Adélia Jesus Nobre Nunes and Cláudia Patrícia de Almeida Seabra Moreira. Alternate
-
ranking. You can find more information at the following link: https://www.uc.pt/academicos/graus/reconhecimentos . III.2.3. Autonomous copy (one PDF file per paper) of the 3 to 6 papers that the candidate
-
bears the cost of recognizing or registering the candidate(s) who will be hired, with the candidate(s) being exempt from paying the fee until the final ranking. More information available at: https
-
an emphasis on the development of methodologies and techniques for Evolutionary Computation and Machine Learning. Work plan: Review of the state of the art in Machine Learning and Deep Reinforcement Learning
-
jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Lino da Silva Ferreira Effective Members: Miguel Maria da Fonseca
-
Collaborate in the use of remote sensing and machine learning methods to detect A. longifolia and to monitor the spread and effects of the biological control agent (occasional collaboration). Activity 4
-
method applied; b) Based on the score of their academic qualifications. VII.VI- All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt
-
- All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/ . VII.VII - Jury Composition: President: Paula Maria de Melim Vasconcelos de
-
and supporting documents must be submitted on the platform: https://ls.uc.pt/index.php/847791 Each candidate may submit only one application, under penalty of cancellation of all submitted applications
-
Neuroscience on object representation and object properties using machine learning and multivariate techniques to analyze the data; support in writing scientific outputs. The grantee will also support the entire