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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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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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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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. 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
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, and writing of scientific papers. Minimum requirements: Experience in Computer Vision and machine learning. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding
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-award courses of Higher Education Institutions. Preference factors: - programming experience in Python; - knowledge of computational learning and computer vision Minimum requirements: - degree average
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Feb 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 36 Offer Starting Date 3 Mar 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU
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Intelligence (AI) frameworks; • Knowledge of ROS; • Knowledge of computer vision Minimum requirements: • Candidate must be enrolled in an undergraduate and/or master's degree in electrical engineering, computer