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during the infection and the bacterium must adapt to the various changes that occur. Through previous research, we have molecularly described gene regulation mechanisms that contribute to a better
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, during neuron differentiation and stress response. By applying a model from epidemic spreading, you will develop a new mathematical model of actual molecular mRNA-protein mechanisms. By combining
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experimental and computational tools, and are currently recruiting for the following roles: Position 1: AI and data science approaches applied to genomics and spatial omics Position 2: Experimental islet and
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Postdoctoral position in fabrication of hollow-core optical fibers for next-generation communication
if interest arises: numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. HCF fabrication will be carried out at RISE Fiberlab (Hudiksvall), one of the leading specialty
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team combines molecular medicine, bioinformatics, and clinical insights to uncover the mechanisms behind skin repair and chronic wounds. As part of our group, you'll gain hands-on experience with high
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, Karolinska Institute. The lab seeks to reveal mechanisms that are responsible for successful regeneration to occur in salamanders, and conversely, highlight processes that prevent comparable injury responses
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finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the
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will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis
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contribute to dynamics of neurodegeneration and this project will aim to refine our understanding of cellular mechanisms, biomarkers and genetic risk of amyotrophic lateral sclerosis (ALS), frontotemporal
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cell programming applications. This position involves both experimental and computational work. The experimental work includes the use of CRISPR-based transcriptional control, single-cell omics