65 phd-in-mathematical-modelling-of-biochemical-reactions Postdoctoral positions at University of Minnesota
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neuroplasticity using rodent models. Concurrent research lines exploring the intersection of sex hormone signaling and respiratory neuroplasticity in aging, spinal cord injury, and stress models offer multiple
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-activated immunogenicity, scaled-up vector production, and assessment of AAV efficacy in pre-clinical animal models. The goal of our research is to ensure advancement of gene therapy treatment for patients
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at the intersection of systems neuroscience and computational modeling. Our lab is broadly interested in Bayesian inference, perception, multisensory integration, spatial navigation, sensorimotor loops, embodied
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include: -PhD (or equivalent terminal degree) in relevant discipline, in biological sciences, microbiology, chemical engineering, biomedical engineering, or mechanical engineering -Experience with funded
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on application materials. Required Qualifications: • PhD in Immunology, Molecular Biology, or a closely related biomedical field • Strong foundation in cellular and molecular immunology, with demonstrated
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on application materials. Required Qualifications: • PhD in Immunology, Cell Biology, or related biomedical sciences • In-depth scientific expertise in cell death, macrophage biology, and fibrotic disease
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, and publication of major results from the experiment. They will also lead the development of predictive distribution models that incorporate data from the experiment. The project is funded by the USGS C
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induced pluripotent stem cells derived cardiac organoids for disease modeling and gene editing. This research aims to deepen our understanding of dystrophic cardiomyopathy and develop novel therapeutic
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reports, grant writing, and extension and professional presentations and activities Qualifications Required Qualifications: - PhD in soil science, agronomy, environmental science or closely related field
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-tuning DNA sequence/genomic/omic large language models (gLLMs) with their applications to genetics, e.g. in identifying causal genes for Alzheimer’s disease (AD). You will have access to state-of-the-art