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- Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID
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Field
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: i) Develop computer vision systems in the context of agriculture; ii) Develop computational systems iii) Promote the dissemination and exploitation of the results generated in the project. 4
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Web of Science in the required fields of knowledge; c) Have experience in the development of optimization models and methods, as well as their implementation and testing. 5. Formalization
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the following conditions: 1. Scientific Area: Engineering 2. Admission Requirements: i) Student enrolled in a Doctoral Program in Electrical and Computer Engineering or related fields; ii) Suitability
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
- SIPG LAB/ISR and 1801P.01460.1.04 LARSYS/ISR BASE 2025-2029 – SIPG LAB/ISR, financed by national funds through FCT/MCTES Workplan: Develop new representations for computer vision and machine learning
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
; ECG; EMG) from healthyparticipants, involving brain-computer interfacing with Robotic systems and VR in a lab environment Duration: The research fellowship will have the duration of 6 months. It’s
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on: https://www.dges.gov.pt/pt/pagina/reconhecimento Workplan and the objectives to achieve: The work to be carried out consists of the development and experimental validation of control and estimation
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to the inexistence or insufficiency of candidates to continue the contest. IV. Selection methods and criteria IV.1. Selection Methods: Assessment of scientific background and CV [ABC (90%)] and Interview [I (10%)]. IV
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Research FieldComputer science » OtherEducation LevelMaster Degree or equivalent Skills/Qualifications Mandatory requirements: Master in Computer Engineering. Enrolled in PhD in Computer Engineering. The
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computer vision applied to healthcare; developed within ongoing projects and other future projects in related areas, as well as the pursuit of new funded projects and support for laboratory management at CIR
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. Selection methods and criteria IV.1. Selection Methods: Assessment of scientific background and CV [ABC (90%)] and Interview [I (10%)]. IV.2. In the assessment of the candidate’s background and CV, scientific