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PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage
Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Operando X-ray Characterization of Catalytic Interfaces for Chemical Hydrogen Storage The Institute for a
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geoscience and remote sensing methods with AI and advanced computing technologies for Earth observation (EO) applications, including climate science, forestry, or agriculture. Your doctoral research will
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Quantitative Analysis of Carrier Dynamics in Operando Photovoltaic Devices Using Analytical Electron Microscopy
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and lifetime validation. This position is part of a twin-PhD collaboration between Forschungszentrum Jülich (FZJ) and the French Alternative Energies and Atomic Energy Commission (CEA). The two projects
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range of suspension-based processing methods, such as screen printing, plasma spraying, dip coating, and electrophoretic deposition Developing sintering processes for coated support structures under
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position – Statistical Mechanics of Noisy Quantum Devices Programmable digital quantum devices are redefining our understanding
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD position - SoCool Project At the Institute of Materials and Devices - Materials Synthesis and Manufacturing Processes (IMD-2
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the practical deployment of rechargeable iron–air batteries in future large-scale energy storage applications. As a PhD researcher, you will investigate the relationships between electrode composition
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Multi-Scale Comparisons of Patterns of Concerted Activity and Causality in Cortical Neural Activity Shape the future
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Background information about the project: Our team recently won the Metascience Novelty Indicator Challenge . We have been developing a method that uses Large Language Models (LLMs) to analyze