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methylation, chromatin accessibility), and clinical data. · Develop, apply, and benchmark machine learning and statistical models for subtype discovery, classification, and outcome prediction. · Contribute
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focused on T cells. The Choi Lab is seeking a postdoctoral researcher to work on T cell biology in mouse models of diseases, including, but not limited to, graft-vs-host disease (GvHD), inflammatory bowel
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injury. Using human stem cell-derived neural models, cerebral organoids, animal models, electrophysiology, mouse behavioral assays, and multi-omics approaches, the lab focuses on mitochondrial dysfunction
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to answer: How temporal and structural sparsity can be incorporated into the 3D dynamics reconstruction model? How sparse can a measurement be and still capture a high-resolution dynamic event? How do
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Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig | Leipzig, Sachsen | Germany | 2 months ago
modelling. Within the Department, we maintain strong synergies with the Neural Computation Group (PI: Andrej Bicanski ), which develops mechanistic computational models of brain function and behavior. We
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related field. Demonstrated experience with Siemens MR pulse sequence programming (e.g., IDEA/ICE) and contemporary image reconstruction techniques (e.g., compressed sensing, parallel imaging, model-based
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., Datavyu), longitudinal data analysis (e.g., RI-CLPM, growth-curve analysis), multi-level modeling, and experimental study design. Expertise designing studies with parents, infants, and school-aged children
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engineered mouse models, confocal microscopy, advanced imaging techniques, or bioinformatics is desirable but not required. Successful candidates should be highly self-motivated, intellectually curious, and
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and (on-site) appointments Vacation: You will receive 30 days of vacation plus additional days off (e.g. between Christmas and New Year's) Flexibility: Flexible working time models, including options
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Internal Number: 1147524 Position Summary The postdoctoral scholar will contribute to projects analyzing and modeling digital socio-technical systems. Our work examines factors that shape the development