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Field
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mixed research methods—including behavioural surveys, environmental monitoring, and dynamic thermal modelling—the project aims to generate retrofit strategies that improve energy efficiency, reduce carbon
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Research theme: “Groundwater remediation”, “Environmental application of nanotechnology”, “Groundwater modelling”, “Aquifer”, “MODFLOW model”, “Nanoparticle transport in porous media”, “Nanoparticle
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for climate-positive and CO2-negative processes. What you will do Optimization of the pilot plant for the combustion of solid fuels (biomass, waste) with oxygen and subsequent CO2 capture Development of models
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problems in health data science. Air pollution is composed of several different environmental pollutants, for example particulate matter (PM10 and PM2.5), ozone (O3), nitrogen dioxide (NO2) and sulphur
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water basins across HMA. We will simulate future changes in temperature, precipitation, and snowmelt using climate projection models. These projections, combined with hydrological modelling, will allow us
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the formation rates or composition of a biominerals from known environmental conditions. This project aims to construct such a model. The ultimate goal is to create a general framework for predicting
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adverse consequences for overall thermal efficiency and component life (environmental impact, sustainability and safety). While standard analytical models for heat transfer exist for classical cases
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you like to contribute to an increased understanding of carbon cycle feedbacks in the climate system? Do you thrive in the dynamic blend of seagoing fieldwork, laboratory experiments and modelling? As a
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environmentally critical, regeneration has not been explicitly integrated into building production – until now. For this position, you need to possess knowledge of the planning, organization, and management
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energy; thereby minimising farming’s environmental impact. AI machine learning offers a new expedient method of developing control systems for tasks that would be difficult to manage using classical