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benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: ● Research and develop novel reliable deep learning computer vision algorithms for the detection and quantification of GIM lesions
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of the state of the art in machine learning for generation of artificial data; - identify and select the appropriate methods for the study in question; - develop the research capacity through the application
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2030 and the European Union, at the taking place in the research laboratory SINS-LAB of the University of Beira Interior (http://www.di.ubi.pt/ ), under the following conditions: Research Field: Machine
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MSc in Electronic Engineering, Applied Physics, or a related field with a focus on Electrochemical Sensing and Data Science; Knowledge of machine learning methods and programming tools; Experience with
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, for the period from 2021 -2026. Reference: BI/UTAD/116/2025 Scientific area/research field: Engineering Researcher profile: First Stage Researcher (R1) Admission requirements: Degree in Computer Engineering
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; Programming skills in Python and C++; Basic knowledge of Artificial Intelligence techniques as Machine Learning e Computer Vision; Knowledge of Deep Learning (i.e., Pytorch, Tensorflow, JAX) and Computer Vision
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Area: Computer Science 2. Admission Requirements: Graduates (Licenciatura) in computer engineering or related area, with experience in Machine Learning/Deep Learning methods/techniques. 3. Project
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Associação COLAB TRIALS - Laboratório Colaborativo para a Inovação em Ensaios Clínicos | Portugal | about 1 month ago
; Ability to define strategies for outreach and exploitation; Computer skills (ex Microsoft Office) and knowledge or ability to learn how to manage directories/platforms; Basic knowledge of development and
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, of 28 of August, and also the provisions of article nº 9 of the Scientific Research Grant Regulations of the University of Aveiro. 5. Work Plan: Intelligent and modular controller with machine learning
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. Project Title: Machine learning techniques for crosstalk mitigation and new passive optical network architecturesHost institution: Iscte-IUL, PortugalThe LUMIRing project aims to deploy a MCF test bed