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Field
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techniques for 4 years. The planned research projects will focus on the molecular characterisation of adaptive stress responses shaping inflammatory signal transduction cascades. By means of multi-omics
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for unsupervised learning when multiple data sources are available, mostly tailored to the case of molecular data in cancer genomics. Emphasis will be placed on rank-based models and their successful use in
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. Preferred Qualifications Candidates should have Ph.D. in life sciences and motivation for high-quality research. Experience with molecular/cellular biology, genetics or biochemistry is preferred. Prior
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Job Description Apply now Job Title: Postdoctoral Associate Division: Molecular Virology and Microbiology Work Arrangement: Onsite only Location: Houston, TX Salary Range: Hiring up to $64,356 FLSA
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approaches are integrated with behavioural studies, large-scale data analysis, biophysical modelling, multi-omic profiling, and collaborative human fMRI studies to build a comprehensive understanding of brain
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proof that all requirements have been fulfilled before their position start date. Expertise in immunological assays, molecular biology, gene transfer methods, and animal models is required. City: New
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Tibetan Plateau habitats with the Acidobacteria as a model microbial phylum for study. Laboratory- and field-based approaches will be linked to describe the genetic, phylogenetic and functional diversity
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 17 days ago
to understand the pathogenesis and pharmacogenomics of pancreatic cancer in order to accelerate its treatment. Using a combination of molecular and genomic data, and human in mouse models, we have identified four
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hepatic biology. The project will have translational components. Expertise in liver disease models, matrix biology, bioinformatics and immunology are a plus. The Postdoctoral position is expected to build
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nervous system using mouse models; uses techniques including confocal imaging, brain slice electrophysiology, in vivo manipulations, molecular biology, and behavioral analysis; applies genetic mouse models