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of biochemical, biophysical, molecular, cellular, and bioinformatics approaches. Collaboration with structural biologists is possible. Postdoctoral scholars at the University of Kansas Medical Center
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and Artificial Intelligence method for predicting the risk of adverse outcomes in respiratory diseases. This position is funded via multiple grants and international collaborative projects. To see
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and join fieldwork in up to three of these locations, perform laboratory analyses together with a research technician, and perform the bioinformatic and statistical analyses of the genomic data
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cell culture, CRISPR/Cas9 based genome editing, protein expression and interaction analysis, light microscopy and cancer assays. A solid background in data analysis, bioinformatics and presentation
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Posting Details Position Details Title Postdoctoral Fellow in Inner-Ear Biology Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Otolaryngology-Head & Neck Surgery Campus IU
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an accredited university. Preferred Education None. Licenses/Certifications None. Required Experience None. Preferred Experience None. Equipment Use of personal computer and proficiency in software and research
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fields, with a minimum final average grade of 16/20; b) Research experience in the field of molecular evolution and phylogenetics, and in the use of bioinformatics analysis tools, particularly for high
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years with both research and other career-promoting work. This will be clarified in the recruitment process. A career plan will be prepared that specifies the competencies that the Research Fellow will
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Description: Key Roles and Responsibilities: Research Overview: Develop and perform synthesis of multiple small molecule platforms in collaboration with principal investigators of KUMC, KUCC and from other
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Office of Women's Health Grant Program (OWH GP) | Southern Md Facility, Maryland | United States | 3 days ago
opportunity to: Develop understanding of sex-biased miRNA regulation in hemostasis and coagulation protein expression Learn to apply in-silico prediction tools and bioinformatics approaches to identify miRNA