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. The candidates must indicate his / her consent so that the communications and notifications in the context of this hiring procedure can take place to the electronic address contractos@inesc-id.pt . The application
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-cost methods and tools for imaging deep-sea environments, 2) installation and testing of these on research and fishing vessels, 3) acquisition, processing and analysis of images of deep-sea environments
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be complied with at the signature of work contract. 7. The tender admission general requirements are those defined in the previous point 6, and additional specific requirements are: a) Proven
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, in Porto, within the framework of the Agreement-Programme of the Institutional Support Selection Procedure (articles 17, 19, and 28 of the Scientific Employment Regulation) signed between
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Engineering (signal processing subarea), Informatics (Information Systems subarea), to exercise the functions of development of computer vision systems for proof-of-concept applications in the following areas
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of the contract. 4.1. General admission requirements are those defined in point 4. For the purpose of determining the appropriate profile for the activity to be developed, the following are special requirements
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vitae structured according to the items under point 5; c) Other documents that are relevant for the evaluation of the qualification in related scientific areas; d) Any other documents that the applicant
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with the provisions of Portuguese legislation regarding the recognition of foreign degrees. For those purposes, the requirements described in point no. 11 of this public notice must be considered. 5.1
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Multimedia Signal Processing – Lx Group Find detailed information about this research Group at https://www.it.pt/MSP-Lx Who can apply and how Any national, foreign, and stateless candidate(s), holding a PhD in
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Institute of Systems and Robotics - Faculty of Sciences and Technology of the University of Coimbra | Portugal | 3 months ago
to candidates PhD thesis was focused on this topic); Proven experience in signal processing and/or machine learning/computational intelligence in the context of biosignals. Preference will be given to those who