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Funded by the German Research Foundation (DFG), Research Unit 5339 "AI-based Methodology for the Fast Maturation of Immature Manufacturing Processes" was established in 2023 at KIT and the
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. Qualifications: Doctorate degree required Background in optical imaging, data and signal processing Expertise in machine learning Experience in human subject measurements Background in optical tomography as
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://doi.org/10.1101/2023.10.31.564945). In this project we will develop this idea into a prototype and then into a stable open-source microscope for the community. Further information about the Ries lab
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wet-lab experience in (i) systems neuroscience (with a focus on electrophysiology and sleep) and (ii) in spatial transcriptomics and high-resolution imaging. The selected candidate will work at the
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screening (e.g., luciferase assays, high-content imaging, massively parallel/multiplexed assays, etc.) is desirable. Ability to interpret and discuss experiments and critically contribute to writing
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, intracranial injections of viral vector (to allow optogenetic/chemogenetic manipulation), electrophysiological experiments (single cell neurophysiology) and histology/imaging. You will be based in Dr Sollini’s
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2p imaging in head-fixed mice. Compile and analyze data with appropriate conclusions and recommendations in support of further CHI research. Communicate with the PI and present the data in a timely
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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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proteins to specific locations on the genome. The project involves grid preparation and screening, data collection and image processing using the Emory cryoEM core and our lab’s cluster (200 TB and 8 GPU
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-of-the-art Core Facilities are available for Genomics, Proteomics, Imaging, Histopathology, Analytical Chemistry, Flow Cytometry/Cell Sorting, and Animal Imaging. Postdocs are members of the Rutgers