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applications in the respective scientific fields. Key areas of focus may include, but are not limited to: - Chemistry and Molecular Modelling: Using AI to advance computational chemistry and molecular design
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interact with experience to give rise to differences in learned behaviors. The team focuses on vocal learning in songbirds as a model system to investigate these questions, employing a variety of behavioral
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/phd-candidate-in-molecular-micr… Requirements Additional Information Website for additional job details https://www.academictransfer.com/357624/ Work Location(s) Number of offers available1Company
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-on experience in advanced cell culture techniques and in vivo models. Proficiency in various cell and molecular biology experimentation techniques like PCR, gels, Western blotting, Immunohistochemistry, ELISA and
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periods for learning, and how individuals’ innate variations interact with experience to give rise to differences in learned behaviors. The team focuses on vocal learning in songbirds as a model system to
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microscopy and atomic force microscopy. Molecular cell biology, animal models, MRI imaging, transcriptomics. References Plaisier E, et al. Role of COL4A1 Mutations in the Hereditary Angiopathy with Nephropathy
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: 94711 Requisition Number: 2025 - 358 Business Unit: College of Medicine Department: Biochem and Molecular Biology 50000510 Reg-Temp: Full-Time Regular Position Summary: The Department Biochemistry and
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trained in experimental techniques spanning molecular and cellular biology and rodent models of stroke including immunostaining, qPCR, cell culture, RNA sequencing, and cognitive, mood and motor behavior
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The School of Life Sciences at the University of Nevada, Las Vegas invites applications for a tenure-track Assistant Professor in Cell and Molecular Biology. The ideal candidate would use vertebrate models and
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=false , https://link.springer.com/article/10.1186/s13059-025-03692-6 , https://link.springer.com/article/10.1186/s13059-023-03064-y ), Linear Mixed Models and GWAS. ● Familiarize with the sequencing