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on computer vision for application in the context of Mineral Resources companies; 2. Surveying, analysing and proposing possible attacks and countermeasures to maintain security and privacy; 3. Selecting
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estimations. The objective are the Exploration of Deep learning (DL) approaches for human pose detection/tracking based on vision sensors. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend
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, or Electrical Engineering, or Physics Engineering, or Applied Mathematics, or related courses. Preference is given to candidates with experience and knowledge in the area(s) of Computer Vision
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for complementary urine biomarker based analysis.; The objectives of this scholarship are: Design and implement a computer vision algorithm for microscopic image analysis for urine biomarker characterization Validate
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of the University of Beira Interior (http://www.di.ubi.pt/ ), under the following conditions: 1. Research Field: Machine Learning and Computer Vision 2. Objetives: This work aims to study, develop and implement
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TRAINING: - extend the knowledge of the state of the art in computer vision and machine learning for cancer characterization; - identify and select the appropriate methods for the study in question
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estimations. The objective are the Exploration of Deep learning (DL) approaches for human pose detection/tracking based on vision sensors. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend
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of the University of Beira Interior (http://www.di.ubi.pt/ ), under the following conditions: 1. Research Field: Machine Learning and Computer Vision 2. Objetives: This work aims to study, develop and implement
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. Overall, the study claims and confirms the urgent need for complementary urine biomarker based analysis.; The objectives of this scholarship are: Design and implement a computer vision algorithm for
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research projects, and writing of scientific papers. Minimum requirements: Experience in Computer Vision and machine learning. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and