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software solutions for precise energy measurement and data communication. In this context, the purpose of this Research Initiation Grant (BII) is:; • Understand the operation and architecture
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop the research capacity through the application of the selected methods; - exercise a critical
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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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. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in the topic; - identify and select the appropriate methods for the study in question; - develop
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PRESENTATION OF THE WORK PROGRAMME AND TRAINING: 1. Literature review regarding inspection and quality control methods that are scalable over time and robust to different and new defects; 2. Identification and
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; - To identify and select appropriate methods for the study in question; - To develop research skills through the application of the selected methods; - To exercise critical thinking in evaluating the research
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PROGRAMME AND TRAINING: - extend the knowledge of the state of the art in machine learning for lung cancer imaging data; - identify and select the appropriate methods for the study in question; - develop
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TEC. 2. OBJECTIVES: - Expand knowledge in the grant-specific scientific area.; - Identify and select appropriate methods for the target study.; - Develop research capability through the application
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INESC TEC is accepting applications to award 4 Scientific Research Grant - NEXUS - CTM (AE2025-0564)
such as OpenAirInterface, including the integration with Software Defined Radio (SDR) and/or commercial Radio Units (RUs); - hands-on experience in designing and assembling hardware-based electronic/RF