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will work with advanced computational models (CSMP++) to: Investigate the effects of key geological variables, such as rock permeability, magma flux, intrusion depth, and fluid composition
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, or computer science Experience in modelling with ab initio electronic structure theory (at the level of DFT) in the field of catalysis, and preferably experience of electro-catalysis and VASP. Experience in AIMD
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modelling the transport of microplastics through glacial meltwater. The student will analyse how microplastics accumulate and are released from the glacier. Both students will contribute to research
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polarizable embedding solvation models, or (iii) orbital-optimized density functional methods for excited states. The applications can include calculations of surface catalytic processes (e.g. CO2
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focused stimulation of brain regions with advanced electrophysiological measurements of neural activity. The team at UNAK will be among the first to test this novel device. The student is expected to start
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development of the selected surviving woodlands and place in context with external natural determinants and past land use, as well as their current state. The outcomes are expected to enhance understanding
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at the Faculty of Physical Sciences, the University of Iceland. The focus of the PhD project is on statistical modeling for maximum precipitation. The position is funded for 3 years by the Icelandic Centre