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/bayesian/deep-learning analyses, with functional validation in spruce via CRISPR-Cas9 and nanoparticle delivery. The postdoc will join Professor Nathaniel R. Street’s team at UPSC, working closely with
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, Micro-C/Hi-C, BS-Seq/EM-Seq), massively parallel enhancer assays (ATAC-STARR-seq), and comparative/bayesian/deep-learning analyses, with functional validation in spruce via CRISPR-Cas9 and nanoparticle
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by combining all available data, taking advantage of the varying temporal resolution and different time spans that the records cover. This work will involve Bayesian tools developed by our research
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. The objective is to advance the method from a research concept to large-scale implementation in urban environments, supporting proactive and data-driven bridge management. The work includes system development and
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into account climate change and non-stationary environmental conditions. The objective is to link reliability-based research to practically applicable decision-support tools for infrastructure managers and
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that the documentation allows for objective and qualitative assessments. A complete application should be submitted by the application deadline. An incomplete application may jeopardise a fair assessment of qualifications
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from histopathology images, and experimental evaluation of immune regulatory targets and combinatorial treatment strategies. Our objective is to advance precision immuno-oncology in ovarian cancer
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overview describing the proposed research activities, objectives, methods, and potential outcomes. Proposal of research activities: Should include research questions, objectives, methodology, and
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load-bearing capacity of existing infrastructure, taking into account climate change and non-stationary environmental conditions. The objective is to link reliability-based research to practically
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behavioural observations, welfare assessments, cognitive testing (e.g., novel object recognition, problem-solving, attention bias), and stress-physiology sampling in longitudinal studies following piglets from