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TEC. 2. OBJECTIVES: This grant, within the scope of the EuroCC2 project, has as its main objectives the research and development of new features for the Intel SPDK (Storage Performance Development Kit
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to the detection of fall-risk situations during assisted gait with the team’s commercial exoskeleton, including sensor data processing and algorithm parameter tuning. ii) Developing and testing software modules
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internationally. Main Responsibilities · Contribute to the installation, calibration, and validation of radio monitoring equipment. · Develop and test real-time data pipelines and deep learning algorithms for Solar
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MANET and performing adaptive data sampling in aquatic use cases within the REMORA project. 2. Development of a decentralized, self-organizing data aggregation method for swarm state estimation. 3. Design
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://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Development and testing of algorithms and methodologies based
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carry out work within the scope of the OHCare research project, focusing on the development of models and algorithms, their implementation, computational execution and testing, and their application
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algorithm; Experimentation with the developed prototype and analysis of results, comparing them with state-of-the-art approaches. V - Initial grant duration: 6 months V.I - Renewal Possibility: Possibily
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available under the following conditions: OBJECTIVES | FUNCTIONS Development and evaluation of machine unlearning algorithms for speech foundation models, including: - Selection and preparation of models and
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selection of sensors and their respective lighting to be adopted.; 3. Study and development of algorithms for detecting inconsistencies.; 4. Study and implementation of operator interfaces.; 5. Assembly and
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://www.inesctec.pt/pagamento-propinas-bolseirosEN ) The grant holder will benefit from health insurance, supported by INESC TEC. 2. OBJECTIVES: - Development and testing of algorithms and methodologies based