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participate in the development and implementation of Machine Learning algorithms for pattern recognition and automated simulation scenario generation. They will also contribute to the technical evaluation
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the mechanisms regulating longevity and in the development of methodologies for the treatment of aging-related diseases (WP3, WP5, WP6, WP8, WP12). Where to apply E-mail calls.elke@uoc.gr Requirements Research
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deadlines. • Ability to be flexible and change between projects and tasks as requirements change. • Assisting in development of project timelines based on platform specific software development project
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participate in the development and implementation of Machine Learning algorithms for pattern recognition and automated simulation scenario generation. They will also contribute to the technical evaluation
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The Industrial Systems Institute (ISI) is a leading R&D institute of excellence conducting basic research and exploratory development on Information and communications technology (ICT) for the Greek and European
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applications in astrophysics and/or Earth observation, with particular emphasis on the synthesis, interpretation, and modeling of large datasets. Where to apply Website https://apella.minedu.gov.gr/en/node/5999
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the company’s R&D unit in the Business Development & Innovation Department in Thessaloniki, Greece, providing strategic leadership for research, development and innovation programs, while ensuring the successful
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. • Ability to multi-task, prioritize and meet deadlines. • Ability to be flexible and change between projects and tasks as requirements change. • Assisting in development of project timelines based on platform
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deliverables of the project, as analyzed in the technical sheet, and in particular in the following: -participation in the development of the Sustainable Service Innovation Methodology (MEDSSIM) and the relevant
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improvement, WP13 Monitoring and evaluation of the impact of the project actions, WP14 Development of a socioeconomic impact studies, WP15 Public awareness and dissemination of results and WP16 Transferability