17 web-developer-university-of-liverpool Fellowship positions at Instituto Pedro Nunes
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Computer Engineering, Physics, or related areas. The goals of the grant are: Design, develop, and validate the web platform and data pipelines that support the end-to-end flow of the digital twin, including
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to create tools to validate and evaluate the modules developed, as well as to integrate them into the existing web application for testing, editing, and validating the conversation system. This allows
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Engineering, Engineering Physics, Electrical and Computer Engineering, Physics, or related areas. The goals of the grant are: Contribute to the development of a legal information system by participating in
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a solid foundation for developing more effective security monitoring tailored to microservices. (4)https://www.unb.ca/cic/datasets/ids-2017.html (5)https://www.kaggle.com/datasets/ispangler/csic-2010
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patterns, and identity authentication. This scholarship competition is part of the CoParticipation project, in which IPN is collaborating on the development of an innovative technological platform
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, in which IPN is collaborating on the development of an innovative technological platform that, among other features, aims to incorporate mechanisms for detecting malicious activities. The scholarship
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of Computer Engineering, Engineering Physics, Electrical and Computer Engineering, Physics, or related areas. The goals of the grant are: The main objective of this research grant is to develop a
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investigate, develop, and integrate recommendation system modules and decision support system modules into the participatory processes platform. The fellow will be responsible for: Investigating and developing
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Engineering, Engineering Physics, Electrical and Computer Engineering, Physics, or related areas. The goals of the grant are: The main objective of this research grant is to investigate, develop, and implement
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, design, implement, and validate an optimization system for scheduling group classes within the Koachy platform. The specific goals include: Develop attendance prediction models for different types