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Exciting Opportunity in Sustainable Energy Research: Join Us in Advancing Hydrogen Storage Technology! Hydrogen is a critical energy carrier for future sustainable systems. One issue using hydrogen
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your application: Proven experience with data analysis and programming (e.g., GAMS, Matlab, Python or R). 7.5 credit course (or more) in sustainable energy futures Experience of other energy and
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Are you passionate about advancing sustainable mobility solutions? Do you enjoy working at the intersection of artificial intelligence, optimization, and energy management? We invite applications
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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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well as cell- based model studies and apply advanced data-driven approaches and state of the art biochemical and OMICs technologies to understand and predict the role of foods, dietary components and dietary
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literature, articulate targeted problem formulations, select appropriate methodology and methods, collect data, and systematically and critically analyze the findings from your studies. During this PhD journey
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production and wind power), you will contribute to Sweden’s long-term industrial competitiveness. We are seeking a highly motivated and curious PhD candidate with a passion for research excellence, an interest
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compatibility with industrial applications. The position is part of a large EU project SurfToGreen where you will have the opportunity to interact with world-class researchers in a multidisciplinary environment
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correctly. Project description The goal of this PhD project is to develop techniques for the design and verification of assured ACPS with a focus on runtime assurance. You will develop theory and tools