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Description The research training group 2806 “Literature and the Public Sphere in Differentiated Contemporary Cultures” at Friedrich-Alexander-Universität Erlangen-Nürnberg, funded by the German
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" geometry for the driver laser Analyze experimental data and communicate the results in work in progress reports, international conferences and publications in refereed journals Your profile Completed
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code via differential testing) We focus on techniques that apply to real-world software systems. E.g., in the past, we have developed techniques that find and fix bugs in widely used Python, Java, C/C
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: Identification of differentially spliced genes and determination of retinal cells in which mis-splicing occurs in USH1G retinal organoids WP3: Determine efficacy of AAV-gene augmentation for USH1G mitigating
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Description Are you interested in developing novel scientific machine learning models for a special class of ordinary and differential algebraic equations? We are currently looking for a PhD
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cDC2 are specialized in driving different T helper cell responses by producing key molecules for their differentiation. For priming of type 2 immune responses, it is still debated if specific molecular
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processes, cell fate transitions during differentiation and cell maintenance. To understand their physiological role during human brain developmental processes and unravel disease-associated molecular
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Anemometry (LDA), and Particle Image Velocimetry (PIV). Extend existing in-house wind field models (based on stochastic differential equations such as Langevin or Fokker-Planck types). Integrate novel
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molecules for their differentiation. To study if dendritic cells also play a role in trained immunity, we will establish murine models of recurring inflammation and re-infection and use different single-cell
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metabolism regulates T-cell aging remains elusive. This project will leverage cutting-edge technologies to identify metabolic pathways that support naïve T-cell maintenance and drive the differentiation