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wastewater treatment plants, with the following main objectives: 1 - Model calibration through Machine Learning methodologies using process data. 2 - Development of a multimodal online sustainability
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that come in touch with human skin can serve as vehicles for transport of diseases and their spread throughout human communities. This infection process can be mitigated by surfaces on which microbes cannot
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candidate will be assessed on a scale from zero to twenty points, and candidates with a final score below 14 points will be excluded. 11. Composition of the Selection Jury: President: José Luís Oliveira
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) composites for the repair, rehabilitation, of existing infrastructure and recycled FRP composites and/or other construction-grade waste materials. The successful candidate will be highly self-motivated and has
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, Large Language Models (LLMs), Natural Language Processing (NLP), etc. The research will also explore distributed data processing frameworks to ensure robustness, interoperability and scalability in DPP
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differentiation processes, (ii) the composition and physiology of tissues or organs, and (iii) disease progression. To characterize the developed models in order to identify novel therapeutic targets using
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English English PhD Research Fellow in Machine Learning and Distributed Data Processing Apply for this job See advertisement Job description Position as PhD Research Fellow in Machine Learning and
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
description The transition from a fossil-based to a circular production of consumer goods requires the development of new chemical processes, especially for the energy-efficient and sustainable conversion
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the development and design of flow chemical processes and reactors for biomass conversion, Configure computational models to analyze and predict the flow processes for intelligent management and upgrading
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PhD Research Fellow in Chemistry-focus on Experiments in Chemical Kinetics and Heterogeneous Catalys
description The transition from a fossil-based to a circular production of consumer goods requires the development of new chemical processes, especially for the energy-efficient and sustainable conversion