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and Design, University of Gothenburg More information about The Hasselblad Foundation can be found here:https://www.hasselbladfoundation.org/en/ Take notice: To see the full ad and to apply
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, imaging, and computation. Show interest or experience in automation, AI-assisted microscopy, and data-driven experimental design. Have experience working with LLM-based chat assistants, AI agents
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the formulation, implementation and experimental validation of models and hypotheses. This implies substantial hands-on experimental activities: design and development of experimental setups (including fixtures
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in both lithium and sodium batteries. The goal is to understand how different design and material choices link to structure, dynamics and performance. A special focus is on solvent-free electrolytes
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for molecular dynamics (MD), slashing computational costs by orders of magnitude and enabling breakthroughs in drug design and materials science. The position bridges machine learning and molecular science, with
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optimizing electrolyte systems (including hybrid solvents, functional additives, and water-in-salt electrolytes), and investigating the electrochemical performances of designed aqueous batteries. The main
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the project at cordis . As overall challenging objective the project targets to design materials that will be biobased, biodegradable, compostable, recyclable and suitable for food contact applications
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candidate with an interest in the application of machine learning to optics, touching upon aspects of computational electromagnetism and inverse design. Information about the project and division Structured
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the application of machine learning to optics, touching upon aspects of computational electromagnetism and inverse design. Information about the project and division Structured optical materials, such as
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and renewable future. In this project, you will design novel electro-thermocatalytic reactors for important chemical reactions involving biomass-derived chemicals. The position is located in the Luneau