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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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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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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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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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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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ceramic coatings. The position involves conducting application-inspired basic research on thin film materials where the main goal is to develop new environmentally friendly surface coating processes with
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in thin-film physics, particularly hard ceramic coatings. The position involves conducting application-inspired basic research on thin film materials where the main goal is to develop new
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strategies studied in comparison with conventional remediation strategies. The project aims to develop and apply methods for assessing environmental impact, ecosystem services, and technical and socioeconomic
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Join us in developing next-generation bioelectronic therapies for Parkinson’s disease and movement disorders using in situ formed electronic materials. Your work assignments We are seeking two