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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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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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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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University of North Carolina at Greensboro | Greensboro, Indiana | United States | about 16 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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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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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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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
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together unique expertise in combustion and laboratory astrophysics to exploit original flames, efficiently produce large molecular systems in the gas phase from the soot nucleation zone, and study their
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environment. • Other desirable attributes: self-motivated, organized, meticulous, efficient, and flexible. Experience: • Applicants with research experiences of at least 4 years in mouse models and/or molecular