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using Cell Painting and high-content imaging. Deep learning and multivariate methods, both supervised and unsupervised. Development of software and pipelines for analysis of large-scale image data
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tissue using spatial transcriptomics, electrophysiology, imaging-based assays, and integrative data analysis. The goal is to map disease-related cellular states and spatial patterns of dysfunction in
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: TH Technology and Health Magnetic resonance elastography (MRE) is a technique of magnetic resonance imaging (MRI) to estimate mechanical properties of tissues. Multidimensional diffusion MRI (MD-dMRI
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and cost-effective solutions integrating renewable energy sources, electrification of heat, and energy storage are deemed. We aim to design and prototype different technologies, including low and high
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data at the actual beam line for LDMX, which will be operated parasitically to the photon science conducted with LCLS-II. In addition, we plan to collect cosmics data with a prototype of the hadronic
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science conducted with LCLS-II. In addition, we plan to collect cosmics data with a prototype of the hadronic calorimeter. During the first 1-2 years, roughly, this project will be focused on the gathering
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, manage infrastructure as code, and troubleshoot source code. If you have a solid foundation in Unix/Linux and are ready to dive into complex technical challenges, then you are the one we are looking
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on processing and analyzing large sets of medical brain imaging data. We have amassed large quantities of structural MRI (used to measure brain structure), diffusion MRI (used to measure brain connectivity) and
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which requires code and data sharing and good team work. The duties may also include participation in teaching and other departmental work (however, a maximum of 20% of working hours). Qualifications
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Work duties and responsibilities We are looking for two project assistants who will primarily focus on processing and analyzing large sets of medical brain imaging data. We have amassed large quantities