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materials design with advanced structural, spectroscopic, and electrochemical characterization methods to unravel how ions, charges, and molecular interactions govern doping efficiency and stability. By
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14 DCs in cutting-edge methods, theory, and transferable skills. More information may be found on the ENERPOL home page at https://cordis.europa.eu/project/id/101226229 . The part of the project
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on CIGS, may degrade or loose efficiency. This includes investigating how the materials’ composition, their physical structure, interfaces between layers and interactions with the environment affect their
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take a leading role in quantitative risk and uncertainty analysis of food safety risk assessments and in the development and implementation methods for the structured elicitation of expert judgement
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structures, and machine learning. The role offers opportunities to contribute to high-impact publications and to practical decision support tools for the road engineering community. Qualifications Requirements
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a strong drive to develop expertise and reach research goals. You thrive working independently, taking initiative and approaching tasks in a structured and systematic way. At the same time, you are a
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, data structures, and data analysis. The research team develops algorithms and data structures with provable guarantees, by leveraging theoretical insights to obtain state-of-the-art practical algorithms
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a person, you are creative, thorough and have a structured approach. When selecting among the applicants we will assess their ability take initiative and move their work forward, to collaborate with
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structures in inflammatory diseases and cancer. The successful candidate will join a growing collaborative research group, who works closely with researchers in the Department of Gene Technology, SciLifeLab
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, as well as previous success in obtaining research funding, are considered merits. You are a structured individual with strong initiative, who enjoys working independently but also appreciates