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, Affective Computing, Machine Learning and Artificial Intelligence, as well as knowledge of programming languages and libraries such as Python, OpenCV, PyTorch, TersorFlow or similar. Work Plan: The work
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the following conditions: OBJECTIVES | FUNCTIONS The main goal is to build a Proof of Space blockchain that relies on real contents that are maintained in the nodes of Machine Learning, Data Analytics and Cloud
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. The ultimate goal is to create an advanced platform for automatic fault diagnosis in motors, using various diagnostic techniques combined with machine learning methods. A survey and critical analysis
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Computer Engineering, enrolled in a non-degree-granting course. Preferred requirements: Knowledge of programming, computational estimation techniques, computational learning, deep learning and real-time
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, with solid knowledge of statistics and machine learning. Additional Information Benefits Monthly salary: 990,98 € according to the table of grant amounts awarded directly by FCT for positions held in
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such as: - Knowledge in formal reasoning, symbolic AI and LLMs - Previous experience in machine learning and planning is a plus EVALUATION CRITERIA The selection will be based on the following criteria: 70
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learning to detect anomalies in network data flows.; 4. REQUIRED PROFILE: Admission requirements: Degree in Computer Engineering The awarding of the fellowship is dependent on the applicants' enrolment in
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benefit from health insurance, 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
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: Experience in research projects, and writing of scientific papers. Minimum requirements: Experience in Computer Vision and machine learning. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection
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learning models, taking into account domain-specific information. One of the key expected outcomes is the ability to provide structured information to improve machine learning models, including: identifying