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Chemical Engineering and demonstrate a proven track record of applying CFD methodologies to complex biological or medical systems. Essential Duties and Responsibilities: Lead and execute advanced CFD
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deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature
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, including patch-clamp electrophysiology, high-resolution imaging, chemogenetic manipulation of glial activity, and behavioral assays in rodent models Analyze and interpret complex datasets from
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engineering teams to implement and test models in production environments What We’re Looking For We’re looking for research scientists with a proven track record of applying deep learning to solve complex, high
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improvement, structure analysis, model building, and validation. Specific areas of research are investigation of multiprotein-nucleic acid complexes that are important in transcription, nucleoid associated
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 3 hours ago
. Applicant must have (or expect to obtain shortly) a Ph.D. in Biological Sciences or related field. Experience with Neuroimmunology and/or Immunology is highly preferred. Proficiency in mouse models of disease
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of the immune system in retinal degenerative disease. We utilize induced pluripotent stem cells, human donor tissue and mouse models of retinal degeneration to study the role of monocyte derived macrophages in
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therapeutics will be tested in these models, such as vagus nerve stimulation and anti-inflammatory compounds. Some of these scientific questions will further address the complexity of innate immune signaling
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core facilities. These shared resources enable high-resolution, high-throughput analysis of tissue samples from both mouse models and human cohorts. Our lab culture is centered on intellectual curiosity
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postdoctoral fellow interested in gaining training and experience in disease modelling and transnational science. The successful candidate will lead collaborative efforts among basic and clinical researchers and