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precision medicine by improving prognostication and treatment selection for cancer patients through the development of novel prognostic and treatment-predictive biomarkers, as well as by elucidating tumor
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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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estimated from observed data. The overall aim of the project is to develop statistical theory, methodology, and computational methods for such complex data problems, with a particular focus on models
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University of Technology, together with the Geological Survey of Sweden and several Swedish industrial partners, is launching a multidisciplinary research project on natural hydrogen resource development and
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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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research subject of Building materials consists of 15 people. The subject focuses on the development of sustainable materials and production technologies for the construction industry, as well as on ice and
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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