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that are only partially met by the development of special purpose classical computing units. This has motivated a recent interest in using quantum computing to machine learning tasks, in particular to clustering
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; Skills in computer programming. Workplan and objectives to be achieved: Development of Machine Learning tools for retrobiosynthesis pipelines, including: (i) validation and extension of models and tools
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cells and the collinear alignment of the pump beam. In parallel, they will participate in the development of a long-range LiDAR test platform, with a focus on experimentally investigating how speckle size
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call is open for the attribution of 1 (one) research grant for a PhD student, financed by Ciências ULisboa, according to the following conditions: Work plan: Development of the base scenario through
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national funds through the Portuguese foundation for Science and Technology (FCT I.P.) and by European Regional Development Fund (FEDER) through COMPETE 2030 program, published on the Euraxess portal, with
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builds on this to develop academic and research capacity within the Deep End network. Training, Support, and Development You will have the opportunity to receive Masters level training with a training plan
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experience in research and development of nanocarriers inspired by biological processes, and techniques for characterizing nanoparticles b) preferential factors: previous experience as a research fellow on
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research activities. Development of automated procedures for the extraction, processing, integration, and calculation of scientific indicators. This research context and methodological approach is
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-FEDER-01186300, co-financed by the European Regional Development Fund (ERDF) through the Norte Portugal Regional Coordination and Development Commission (CCDR-N) under the Norte Regional Programme
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processes at work and beyond. The group’s research combines theoretical development with empirical studies and applied relevance and includes ongoing and recently completed projects on motivational processes