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) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: The successful candidate will develop signal and image processing techniques, as well as apply machine learning
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-known paradigm in the scientific community. A single reference was found in literature that conceptualizes a DaaS largely like the one envisioned in this proposal. Even though, their work considers device
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. OBJECTIVES: The candidates will be involved in the development and optimization of spectral imaging systems, as well as in the development of automation tools and spectral signal analysis. 3. BRIEF
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enhanced visualization and analysis capabilities; 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: In the context of the current research project, advanced spectral imaging systems for the analysis
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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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person's body joints, for example, in a single frame or sequence of images. It plays a major role in understanding human movement, having wide-ranging applications in fields such as robotics, human-computer
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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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, supported by INESC TEC. 2. OBJECTIVES: The objectives for this grant are as follows:; • Research and develop machine learning algorithms for the processing of gastric endoscopy images.; • Lead or support the
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summarization tasks in European Portuguese; Determine the impact of the prototype on converting free-text data into structured data, in collaboration with the communication and computer science team; Design the
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of the prototype in a laboratory environment and in various industrial scenarios, accompanied by the preparation of technical and scientific reports. 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING