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(AutoML) platform to output Machine Learning/Deep Larning models focused on image analysis. In this sense, the focus will be the development of several modules: a module to load, process and store images
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program (2025.02832.MAD), funded by FCT-Madeira, under the following conditions: I. Scientific Area: Electrical Engineering and Computer Engineering II. Admission Requirements
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program (2025.02832.MAD), funded by FCT-Madeira, under the following conditions: I. Scientific Area: Electrical Engineering and Computer Engineering II. Admission Requirements
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Public Notice - International Selection Procedure Recruitment of a Science Manager with a BSc R&D Unit IA, financed by Fundação para a Ciência e a Tecnologia, I.P./MECI FCiências.ID/2026/ IA/1 FCiências.ID
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10 Jan 2026 Job Information Organisation/Company INESC TEC Research Field Computer science » Computer systems Researcher Profile First Stage Researcher (R1) Country Portugal Application Deadline 23
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accomplished are as follows: Innovate structural visual inspection activities based on digital terrestrial and aerial photographs. Develop digital image processing methods for the automatic identification and
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, focusing on the digital processing of images obtained by onboard cameras and air quality monitoring. To successfully achieve these objectives, prior knowledge in the following areas will be required
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/pt/AE2025-0603.pdf JOB ADVERTISEMENT Recruitment of 1 Doctorate in the field of Physical or Electrical Engineering INESC TEC - Institute for Systems and Computer Engineering, Technology and Science, a
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: • Experience in developing image processing algorithms for weeding or pollination; and; • Experience in developing micro drones with potential for weeding/pollination. Funding Entity: on the scope AGROBOOST
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be considered: Experience with scientific communication Experience with Bruker equipment Experience working with rodents, DGAV license Skills for image and/or signal processing (ImageJ/Matlab /Python