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qualified and motivated individual to join the team as an Associate Research Scientist for plant-environment interactions in agricultural and natural ecosystems. The Water Department investigates hydrologic
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of the ACCREU Coordinator. Candidates should have a background in natural sciences, engineering, or applied economics. The successful candidate is expected to support current research at CyI in the further
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Risk in Europe” (www.accreu.eu ), which is funded by the Horizon Europe program. The successful candidate should have a background in natural sciences, engineering, or applied economics, with a doctoral
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challenges arising from the inherent stochastic nature of material properties of both the recycle stream and the biochar inclusion as well as the inherently enormous range of spatiotemporal scales
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statistical analysis of data from various application domains. Close collaboration with cross-functional teams, such as researchers, product managers, backend engineers, data scientists. Contribution to project
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of the: Assessment of air pollutants and greenhouse gases (GHG) emissions from anthropogenic activities over Cyprus and the EMME region, Investigation of the radiation forcing of natural aerosols (mineral dust) and
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storing solar energy, and subsequent utilization in process heat applications in general, and in seawater desalination production in particular. Renewable Energy Systems development including hybridization
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, industrial, and other external organisations to build productive relationships Ability to work under pressure, delegate and plan personal workload effectively Ability to solve problems creatively
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cross-functional teams, such as researchers, product managers, backend engineers, data scientists. Research and Development of novel methods in any of the following: HPC, HPDA, large-scale ML, data-driven
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/public sector. Collection and statistical analysis of data from various application domains. Close collaboration with cross-functional teams, such as researchers, product managers, backend engineers, data