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capabilities to aid in the predictive engineering of biological systems, such as proteins, as part of the NIST Engineering Biology Program. Develop artificial intelligence and machine learning analysis pipelines
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automated configuration mechanisms based on fingerprinting and machine learning to ensure traffic analysis remains faithful to the behavior of the monitored machines. Finally, you will validate your solutions
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educational technology, digital tools, and online learning management systems. Strong verbal and written communication skills. Collegiality. Preferred Qualifications: Ability to teach courses aligned with
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foods including through high moisture extrusion. Key responsibilities will include: Explore innovative methods for food process optimization including the use of AI and machine-learning Develop and
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technologies, such as low-power long-range (LoRa) and high-throughput, low-latency technologies (5G). In the context of machine learning, communications play a central role in data sharing and in the decision
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machine learning. The work will be part of a Horizon pilot project aimed at realizing a scenario-based platform for the interactive and comprehensive evaluation of design solutions and mitigation strategies
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experience in computer administration, FLIM, optical instrumentation development, and software code writing. The research associate should have an interest/ability to work independently as
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on developing robotics and cyber physical systems solutions using machine learning and artificial intelligence to support different aspects of marine science, with opportunities to expand to other areas
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) Number of offers available1Company/InstituteDepartment of Computer Engineering of the University of Coimbra CountryPortugalState/ProvinceCoimbraGeofield Contact City Coimbra Website https://www.uc.pt
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25 Mar 2026 Job Information Organisation/Company Tallinn University of Technology Department Department of Business Administration Research Field Economics » Business economics Researcher Profile