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and inhibitors · Immunohistochemistry, immunocytochemistry and confocal microscopy of membrane proteins · Transcriptomics, proteomics, and bioinformatic analysis of omics data · Mass
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unless stated elsewhere in the job posting. Work Experience: No additional work experience unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations
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). Proficiency in data acquisition and analysis software (e.g., pClamp, Spike2, AxoGraph, MATLAB, or Python). Preferred Qualifications Education: No additional education unless stated elsewhere in the job posting
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mouse models. The postdoctoral scholar will be involved in experimental design, data collection, analysis, and publication of research findings, while working both independently and collaboratively within
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additional work experience unless stated elsewhere in the job posting. Skills: Bioinformatics, Biomarkers, Computer Science, Data Analysis, Etiology, Exome Sequencing, GATK, Genetic Research, Linux
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unless stated elsewhere in the job posting. Skills: Collaboration, Data Analysis, Data Interpretations, Experimentation, High Performance Computing (HPC), Laboratory Operations, Laboratory Techniques
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platforms, Docker). · Experience with GIS/spatial analysis and traffic simulation or microsimulation tools. · Evidence of scholarly productivity (peer-reviewed manuscripts) and experience
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include, but are not limited to, (i) the study of cancer immunology using genetically engineered mouse models, (ii) molecular analysis of epigenetic crosstalk, and (iii) the effects of these epigenetic
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analysis of genomic datasets. Strong writing skills as evidenced by past publications and/or grant awards. Preferred Qualifications: Experience in immunologic techniques (wet-lab). Preferred Qualifications
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group. The successful candidate will have experience with paleobotanical methods, preferably including fieldwork, laboratory work, and statistical analysis. Experience with phytoliths is an advantage but