11 evolution "https:" "https:" "https:" positions at KTH Royal Institute of Technology
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on development of novel computational methods with state-of-the-art machine learning for gaining fundamental insights into healthy and diseased human tissues of the heart, cardiovascular system, and
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coupling where applicable. The present post-doc position will contribute and lead research in relation to the development and validation of techno-economic performance models for the design and operation of
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on modelling nucleation and evolution of damage under monotonically increasing or static loading in pressurized high-temperature water environments, with links to microstructure and manufacturing processes
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energy community deployment. The researcher will lead activities related to time-resolved energy systems modelling, optimisation, and digital twin development for pilot sites, including scenario-based
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entitled “Microstructural evolution, fatigue and fracture in metals from advanced manufacturing for long-term operation of nuclear reactors”. The research environment is funded by the Swedish Research
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computing, networked systems, and beyond. The work will range from theoretical and algorithmic development of distributed protocols and coordination mechanisms, through the design and implementation
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. Mentorship and support in career development and research leadership education. How to apply Applications must be submitted through the HotCRP system. Each applicant can submit a maximum of one application
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: Development of ML/DL methods for multi-omics data analysis. Design and implementation of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge
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spectroscopy with specialization in materials chemistry. This includes advanced use and method development, primarily in solid-state NMR, to study hard and/or soft materials, including colloids, but also high
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vehicle onboard microprocessor. Some of the key responsibilities include, (1) research and development of the MPC controller; (2) test the controller on both simulation and a physical vehicle; (3) comparing