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into two main areas: (1) material development and characterization to ensure optimal sensing and mechanical performance, and (2) structural evaluation of SS-FRCMs under environmental stressors such as freeze
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We are seeking a motivated postdoctoral researcher to explore how changes in aircraft components and operations impact climate and environmental outcomes. The position is part of a dynamic research
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researchers, are top-ranked internationally. Work description The employment mainly comprises research in the intersection of Generative AI and software engineering, within the scope of the research project
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speaking is required. Knowledge of Swedish is meriting. The fellow is expected to work and collaborate within the Horizon JU CBE SingleTree project on the optimization of multifunctional forest-based value
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research plan) Strict compliance with the MSCA mobility rule that the researcher must not have resided or carried out his/her main activity (work, studies, etc.) in the host organisation's country
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The applicant should have a PhD degree in transport, operations research, applied mathematics, computer science, or similar topics. Experience with optimization, data-driven or machine-learning skills
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mechanics, numerical methods, microstructural mechanics, structural optimization, and experimental methods. The department also has strong activity in X-ray and neutron methods for materials research. Project
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, information theory, differential geometry, and statistical learning theory are used to understand, validate, and improve performance. Work duties The job responsibilities as a postdoctoral researcher primarily
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universities in Sweden. The vision is a sustainable future through materials science. Read more at WISE Duties As a post-doctoral researcher, you are expected to perform both experimental and theoretical work
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the cybersecurity field, with knowledge of system security, network security, or AI/ML security; Have a passion for cybersecurity research in advanced and futuristic topics, as well as for interdisciplinary work