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Field
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fellowship will be involved in the execution of the following tasks: 1 - Train the metamodels using machine learning techniques; 2 - Validate the machine learning results with experimental results. The aim
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of these areas:a. Data Science (Python)b. Machine Learning (Python)c. Remote Sensingd. Internet of Things (Hardware, Node-red, JavaScript)e. Satellite Image Processingf. R&D and scientific
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: Machine Learning/Pattern Recognition 2. Objectives: Mitigating Negative Transfer in Incremental Task Learning for Industrial Ground-Based Drones. 3. Requirements for admission and hiring: - Hold a BSc
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Institute of Systems and Robotics, Faculty of Sciences and Technology of the University of Coimbra | Portugal | about 1 month ago
Engineering Research Field Engineering » Electrical engineering Engineering » Electronic engineering Engineering » Mechanical engineering Engineering » Computer engineering Researcher Profile First Stage
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of Machine Learning techniques. 5. EVALUATION OF APPLICATIONS AND SELECTION PROCESS: Selection criteria and corresponding valuation: the first phase comprises the Academic Evaluation (AC), based
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”, for the recruitment of one Research Assistant, in the area of Biomedical Engineering, sub-area Biomedical Engineering, with emphasis on Biosignals and machine learning, under an uncertain term employment contract, in
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optional skills and qualifications: Previous research experience, particularly in the fields of Internet of Things security and machine learning model security applied to intrusion detection. Contracting
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the following mandatory requirements: a) A completed degree in Chemical and Biological Engineering; b) Good knowledge in the areas of Machine Learning, Microbiology, Knowledge Graphs, and Language
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impact on the simulation of sheet metal forming processes. To this end, machine learning approaches based on small datasets will be explored, with the goal of creating efficient, robust, and interpretable
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experience in the fields of HRI, robotics, computer vision, or machine learning. Programming skills. Contracting requirements: Presentation of the academic qualifications and/or diplomas, if applicable