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-fabricate TMR sensor wafers that can be used to qualify solutions and products; • Characterise electrically the sensors produced; • Develop and automatize new characterisation setups that might be required
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Intelligence algorithms: deployment of advanced AI algorithms, such as convolutional neural networks (e.g., ResNet, VGG) and object detection models (e.g., YOLOv5, YOLOv8), for the automatic recognition
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in the relevant field (20%): Mathematical Modelling/ Language Programming/ Digital Signal Processing/ Digital Image Processing/Circuits projects/ Automatic Measurement Systems Composition
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-based textile fibres. Experience in the design and validation of particulate systems for the controlled release of bioactive molecules to promote skin tissue healing and regeneration. Experience in
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5 years. Excellent command of methodologies for extracting and characterizing bioactive compounds from food byproducts. Proven experience in recovering agrifood byproducts for the development
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manufacturing framework using the IEEE 1451. Work Plan: Develop a digital twin concept capable of fulfilling the requirements for PPS14—Predictive quality control system for welding, WP9: control systems
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spoken command of English and Portuguese. f) Experience/knowledge in current software tools (Word, Excel, PowerPoint, others). 6. Selection Process The selection process must comply with article 5
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Portuguesa is the controller responsible for the processing of Personal Data in accordance with Regulation (EU) 2016/679 – General Regulation on Data Protection. The personal data submitted within the scope
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, and protection devices, exceeding the current state of the art. • Design and validate innovative control and operation methodologies for AC/DC hybrid distribution networks, focusing on challenges
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other research results in force at the FCT. Monitoring and control actions may be carried out by national and Community bodies in accordance with the applicable legislation in this area, and grant holders