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focuses on developing a fundamental understanding and numerical models for multiphase flows, which are crucial for various industrial processes. The successful candidate will develop advanced physics-based
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) exhibits a unique operational mode in that a p-n junction doping structure forms during the initial device operation. The PhD project will be performed at the Swedish SME LunaLEC AB (www.lunalec.com ) and
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, and verifiable by involving users directly in the response validation process and ensuring that every answer is traceable to a clear source and justification. The project will focus on interdisciplinary
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representatives, see Help for applicants . Application procedure Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than 11 november 2025
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processes such as metabolic flux readouts and analyses of signaling pathways. In this way, the project integrates discovery-based proteomics with mechanistic experiments to directly link protein localization
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processing and analysis. CIPA is also the coordinating unit for Lund University's InfraVis node, consisting of around 10 people with complementary expertise. InfraVis and CIPA provide all employees with
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electronic doping to control and modify their electronic characteristics. The project’s goal is to develop fundamental understanding and innovative fabrication processes to solve urgent problems in organic
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for applicants . Application procedure Apply for the position by clicking the “Apply” button below. Your application must reach Linköping University no later than the 11th of November 2025. Applications and
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experience with econometric software (e.g., Stata, R) and field surveys in developing countries will be considered an asset. Personal merits will play an important role in the selection process. Place of work
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verifiability for AI systems, based at the Department of Computer and Information Science. These positions are funded by the Wallenberg AI, Autonomous Systems and Software Program (WASP). Wallenberg AI