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of cementitious composites using waste materials, with experience incorporating fly ash, glass powder, and construction waste being valued; c) knowledge in evaluating the durability of concrete, with experience in
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Environmental Sciences, Environmental Engineering, Geophysical Sciences, Climate Change, or a closely related field, with specialized skills and/or expertise in climate adaptation, climate change modelling
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of the gas-phase composition. The work involves the development and application of advanced experimental methods to link surface structure, gas-phase reactions, and catalytic activity under realistic reaction
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of infection using metagenomics, advanced statistical models, and analytical biochemistry. One position to work on an NIH-funded project is available. The project is focused on determining the impact of
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, including organisation and facilitation of focus groups and thematic analysis; c) Development and feasibility testing of a flexible evaluation model for under-assessed mental health programs in higher
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technological developments in your professional field and, together with colleagues and partners, translate these into solutions that meet market needs. Your team You will be part of the Food, Gut & Health Models
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the in reconstruction of gravity theories in holographic models within the context of the AdS/CFT duality. 2 – Collaborate in teaching and participate in the institution's training programmes
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, with a view to developing and carrying out the above-mentioned project and related scientific activities, with a particular focus on the development of analytical models (data science – machine learning
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declaration of honour. d) Laboratory experience in alternative solvents, namely eutectic systems; e) Experience in measuring and modeling physicochemical properties; f) Not exceed, with the conclusion
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the scientific field of the competition. c) Previous experience in statistical analysis of time series and mixed models. d) Previous experience in processing and analysing physiological data (electrodermal