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Join us in developing machine-learning accelerated simulation methods to understand and optimize interfaces in hybrid organic-inorganic materials for sustainable energy devices. Your work
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of visual learning theory, the PhD student will develop methods for understandable latent representations and implicit neural models. For further details, see the ELLIIT project Learning Geometric
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application! We are looking for a PhD student in Medical Science, AI and Bioinformatics. Your work assignments This project aims to develop AI foundation models for integrative single-cell and multi-omics
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forward to receiving your application! Your work assignments The project focuses on the development and optimization of electrocatalysts and electrolyzer systems for sustainable energy conversion
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energy-harvesting devices. The successful candidate will focus on ionic thermoelectric materials and electrochemistry, developing and investigating advanced electrolyte and redox-active material systems
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of 20 per cent of full-time. Your work will include: Development and characterization of soft MIEC materials. Development and characterization of functional separator materials. Investigation
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-harvesting devices. The successful candidate will focus on ionic thermoelectric materials and electrochemistry, developing and investigating advanced electrolyte and redox-active material systems for next
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application! This recruitment is linked to the Impact Innovation program Swedish Metals and Minerals – an initiative of Energimyndigheten, Formas and Vinnova. Read more: https://impactinnovation.se/program
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and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent of full-time. Your work will include: Development and
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: https://impactinnovation.se/program/swedish-metals-minerals/ Your work assignments As a PhD student in this project, you will work in a world-leading group focused on application-inspired basic research