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the molecular signatures of proteostasis loss and identify early markers of proteostatic failure. The role combines wet-lab spatial biology with computational approaches. You will work across models and scales
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and cancer biology. A broad set of molecular biology skills. Some Bioinformatics training would be an advantage as would sophisticated flow cytometry experience and tissue culture/animal models
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for utilizing human induced pluripotent stem cell-derived models and animal models to study molecular mechanisms of arrhythmias, the effects of current treatments and identify new therapeutic targets. This person
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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 2 hours ago
in an organized activity of manipulation of materials at atomic, molecular and macromolecular scales that are versatile and fluent in mathematics and the core sciences with a particular world view
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superlattices (twistronics). The role will focus on developing and applying theoretical models and computational quantum chemistry and machine learning methods to uncover novel properties and phenomena in low
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visionary research in the areas of brain science and brain impacting diseases. MNI?s cross-disciplinary research portfolio reflects the full range of basic and translational projects from molecular analyses
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at multiple taxonomic levels in space and time of selected groups within the petaloid monocots. The candidate will use an integrative approach to these studies, using a molecular phylogenetic framework to study
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research program, integrating molecular, immunological, phylogenetic, ecological, and modelling approaches to produce high-quality research outputs, support competitive funding, and translate findings
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for Catalysis and Organic Chemistry at the Department of Chemistry. The group has extensive experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova
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) or be currently pursuing. Preferred skills: Experience in immunology, cell biology, molecular biology, animal models, virology or bioinformatics is desirable. Applicants with strong publication records