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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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to combine energy storage with load-bearing function, offering promising solutions for lightweight and integrated systems in transport, aerospace, and other sectors. While this concept has advanced in recent
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to integrate existing and new datasets into publishable manuscripts. Your profile The successful candidate must have: - a PhD in a discipline such as Environmental Sciences, Ecology, Forestry, or any other area
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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improve SMR safety performance by preservation of integrity of reactor pressure vessel, i.e. the existing safety barrier. What we offer A position at a leading technical university that generates knowledge
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production and biodiversity values between conventional rotation and continuous cover forestry. The post-doc is further expected to integrate existing and new datasets into publishable manuscripts. Your
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will include clinical and biomedical research projects. It will also involve methodological development aimed at combining imaging techniques and data analysis to provide a more integrated understanding
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
preparation, presenting research, contributing to grant proposals and mentoring students. The candidate will analyze and integrate next-generation sequencing data and have the opportunity to publish in high
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
preparation, presenting research, contributing to grant proposals and mentoring students. The candidate will analyze and integrate next-generation sequencing data and have the opportunity to publish in high
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clinical applications of novel cell and gene therapies in one integrated setting. In this environment, our research group focuses on combining novel genome engineering tools (e.g., CRISPR-based) and