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Field
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PhD position within the project "What's wrong? Ancient corrections in Greek papyri from Egypt" (AnCo
, of the cognitive, historical, cultural, creative, and social aspects of human life. As an academic community, we strive to create an open and welcoming atmosphere, stimulating everyone to get involved and contribute
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Vacancies PhD position in “Urban water quality under drought conditions” Key takeaways Freshwater of sufficient quality is crucial to sustain life, development, and the environment and lies
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data is lacking. With the DataLibra project, we aim to close this gap, by developing AI models and tools for structured data (Table Representation Learning), to help organizations, of any size, domain
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are developed, modelled and controlled. You will create novel adaptative, physics-informed models that tightly integrate thermo-fluid dynamic laws, deep learning neural networks, and experimental data. A key
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seismic data to produce 3D geophysical models that will constrain the subsurface extent of rock units that might be suitable for hydrogen generation via radiolysis and/or serpentinization and identify
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for H2 production, plastic waste recycling, etc). Operation of various types of plasmas at atmospheric pressure (or slightly above), mainly warm plasmas (microwave, gliding arc, arc), but also DBD
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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to forward a copy of your CV along with your academic referees. Informal enquiries to:Colin.clarke@nibrt.ie or niall.barron@nibrt.ie Funding:Annual stipend of €25,000 plus fees for 4 years.Project 2: Model
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the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand the functional roles of plant roots in agroecosystems. You have
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, investment, wage-setting, and the transmission of policy. While traditional models provide a strong foundation, growing evidence suggests that real-world expectation formation is shaped by informational