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migration, nanoscale assembly, or complex charge-screening processes are still poorly understood despite their critical impact on electronic properties and device performance. The project will provide a
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dynamics in models of brain injury and neurodegeneration (amyotrophic lateral sclerosis / ALS and Alzheimer’s disease / AD). Projects will involve in vivo multiphoton imaging of glia, vascular, perivascular
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(www.kerlinlab.org). Successful applicants will use state-of-the-art equipment we have constructed for the in vivo measurement and manipulation of synaptic function, including novel multiphoton imaging, optogenetic
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environment in the fields of science, technology and administration as well as for the education of highly qualified young scientists. The computational imaging group at DESY is concerned with the development
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field of view (24 Megapixels – 5,760 x 4,092) and faster (3.75 times that of K2 camera). The direct detection devices are exquisitely sensitive, produce high signal to noise images, and are ideal for high
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of neuronal, astroglial and microglial markers in zebrafish and mouse brain samples In vivo imaging of specific brain cells in the transgenic zebrafish and mouse lines Develop phenotypic rescue assays, based
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cardiovascular simulations, especially with regard to the estimation of biomarkers for image-based diagnostics. The project is a collaboration between WIAS (Research Group “Numerical Mathematics and Scientific
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detection and management, such as code exposure, coverage, and secure patching/update architectures as part of DevSecOps processes; Validating mission data system software interfaces and service-specific
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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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-culture system to study disease. By integrating single-cell multiomics, spatial transcriptomics, long-read sequencing, and high-throughput functional imaging, we aim to identify disease-relevant phenotypes