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the University of Iceland Doctoral Grant Fund and focuses on next-generation battery technologies and specifically on the development of electrolytes for rechargeable calcium metal batteries. Calcium metal
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staff of around 120, including 66 permanent staff. It has a strong experimental component, with numerous prototype set-ups supported by both standard equipment and high-tech instrumentation
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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
facilities. Analyze experimental data and develop or adapt data-analysis workflows, including scripting in Python or comparable tools. Combine spectroscopic information with catalytic performance data and
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ice, using a framework consisting of an ocean Large Eddy Simulation (LES) and a Discrete Element Model (DEM) of sea ice. Results from these simulations will be validated against a combination of in-situ
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spoken English. Additional qualifications: Experience with NGS techniques (RNA-seq, ChIP-seq, WGBS, etc.); Experience with chromatin conformation analysis techniques (Chromosome Conformation Capture-based
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also deal with the diffusive behavior of certain elements simulating fission products (FPs) and activation products within these materials. This thesis will study the properties of chromium-doped UO2
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focus groups; conducting data analysis; presenting the work at national and international conferences; spending 10% of your time on teaching-related tasks. What do you have to offer You have: a (research
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analysis team, contributing to data generation, processing, and delivery. The project will address key challenges such as advanced backscatter mitigation, improved scale factor estimation, and advanced post
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deposition processes for transition-metal-based electrocatalysts. Investigate the activity, stability, and selectivity of the prepared materials for the oxygen evolution reaction (OER), hydrogen
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for structured biological data. The successful candidate will: Develop probabilistic factor models and scalable inference algorithms for structured biological (multi-view) high-dimensional data. Develop modular