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innovate, our actions together, large and small, contribute to a better world. We look forward to receiving your application! Your work assignments The project focuses on the development and optimization of
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uncertainty-aware, optimization-based motion planning at the control and planning layer. You will develop scalable trajectory optimization and real-time Model Predictive Control (MPC) strategies that use the
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-systems. The vision of WASP is excellent research and competence in artificial intelligence, autonomous systems and software for the benefit of Swedish society and industry. Read more: https://wasp
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thermal energy conversion. Integration of developed materials into soft and deformable thermal energy-harvesting devices. Characterization and optimization of the thermoelectric, electrochemical, and
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–property relationships in functional materials. Integration of developed materials into soft and deformable thermal energy-harvesting devices. Characterization and optimization of the electrical
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Energimyndigheten, Formas and Vinnova. Read more: https://impactinnovation.se/program/swedish-metals-minerals/ Your work assignments As a PhD student in this project, you will work in a world-leading group
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-conscious approach and on strong linguistic analytical ability, meaning that you can process text, theory, and research literature in a structured and reflective way. In addition, you have well-developed
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construction of high-dimensional optimal portfolios. Motivated by the widespread application of sample generalized inverses in practice when the dimension of the data-generating process exceeds the sample size
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involve writing and running code to process sequencing data on a computer server, applying statistical models and machine learning algorithms, and performing downstream data analysis, including
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is multidisciplinary, fostering creativity and innovation. ( http://liu.se/loe ). You will work within the Materials Science group, part of the Theory & Modelling unit. Read more: https://wise