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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 29 days ago
-content spatial transcriptomics and proteomics technologies, aerobic/anaerobic cell culture technologies, single-cell RNAseq technologies, Qpath/Visiopharm/site-based image analyses, murine studies
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Learning methods for modeling spatial and spatio-temporal data, including point pattern data, possibly observed over complex domains. The candidate will specifically consider physics-informed statistical
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therapy. This project will use state-of-the-art single-cell and spatial transcriptomics to characterize ependymoma and its immune TME. You will perform these experiments and analyze the composition
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-of-the-art in vivo perturbational technologies and advanced computational modelling to solve fascinating biomedical puzzles. This interdisciplinary atmosphere has been a main catalyst for many past successes
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turbines. Slope Stability and Analysis: Investigating the effects of spatial variability, rainfall, and external loading on slope stability through numerical modelling, physical testing, or probabilistic
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this, the postdoc will use innovative modeling based on the coupling of (1) a meteorological model adapted to the fine spatial scales of these systems and explicitly simulating turbulent structures, and (2) a
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PhD Studentship: Distributed and Lightweight Large Language Models for Aerial 6G Spectrum Management
with transformer-based architectures. Then, a novel embedding technique will be designed to map high-dimensional wireless network parameters into a compact vector space modelling, where temporal, spatial
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biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will be on development of novel computational methods for gaining fundamental insights into healthy
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training network and aims to apply mathematical modelling methods to study adrenal gland steroid biosynthesis dynamics and their spatial relationship with adrenal tumours found in Primary aldosteronism (PA
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project Socio-Spatial Situatedness of Roman Professions and its Impact on Religion in the Roman Empire: A Formal Modeling Approach (SIPROME). The SIPROME project investigates how professions and the socio