37 modelling-complexity-geocomputation Fellowship positions at University of Michigan
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& Bioinformatics, is seeking candidates for a postdoctoral research fellow position. This is primarily for an NIH-funded project developing multimodal variational autoencoder models and probabilistic trajectory
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, complex hydrodynamics and hydroacoustics, data assimilation and multi-disciplinary optimization, and autonomy. We seek talented, motivated postdoctoral applicants from all areas of engineering, math
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, mathematics, or a related field.bioinformatics, statistics, mathematics, or a related field. Why Join Michigan Medicine? Michigan Medicine is one of the largest health care complexes in the world and has been
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search of an exceptional postdoctoral fellow to join the research team. The laboratory is situated in the heart of Michigan Medicine at the North Campus Research Complex in a newly renovated laboratory
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models. The Sutton Lab is housed within the Michigan Neuroscience Institute (https://medicine.umich.edu/dept/michigan-neuroscience-institute ) in the Interdisciplinary Taubman Biomedical Sciences Research
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novel inhibitory/degrader drugs in preclinical models. The individual should be familiar with routine molecular biology techniques and have an educational background in biomedical sciences or related
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develop AI models to predict and study the tumor evolution and lineages using the multiomic measurements from both bulk, single-cell, and spatial technologies. The lab emphasizes understanding
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signal processing models to analyze waveforms generated by traditional patient monitors and a novel wearable sensor and build a decision support tool to guide CPR Participate in the user interface and
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experiments to validate findings from the omic studies. The desired skill set is split between dry lab (bioinformatics) and wet lab (basic science/animal models). Additionally, the individual will be required
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interdisciplinary lab focuses on investigating genetic and epigenetic changes in traumatic brain injury. The successful candidate will work on animal models of brain injuries and apply cutting-edge spatial multi-omic