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Phenomic prediction programs that incorporates genotype (genotype by sequence) and phenotype data (from traditional and high throughput, remote sensing sources) -Use or develop R programming code to complete
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the fermentation reactor, and post-incubated organic matter from the microbial fuel cell. Specifically, the technician may be asked to work on running or outsourcing samples to generate data on total organic carbon
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machines, ECG, cautery, autoclaves, etc. Compile and may analyze research data using various relevant computer software applications. Assist with literature research, editing and preparing manuscripts
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techniques (e.g., nutrient extraction, pH, EC), experience with nucleic acid extraction and transcriptomics beneficial. . •Evaluate data and summarize results for preparation in peer reviewed publications
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Researcher - Comprehensive Cancer Center
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of health care markets. The fellow will also have time for their own complementary research, and we will facilitate access to our data sources in support of their research. The fellow will be supervised by
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, pregnancy, age, genetic information, disability, military or veteran status or any other category protected by law (also known as membership in a "protected class"). Brandeis University is an equal
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to help mentor graduate and undergraduate students. Responsibilities: Manage own academic research project(s). Maintain good record keeping of experiments and data. Write up results for publication in peer
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the Salata Institute. Contact Information: Anna Russo. arusso@fas.harvard.edu . Basic Qualifications The ideal candidate should have a PhD in economics, public policy or a related field by July 1, 2026. We
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University of New Hampshire - College of Professional Studies | New Boston, New Hampshire | United States | about 1 month ago
prohibits discrimination on the basis of race, color, religion, sex, age, national origin, sexual orientation, gender identity or expression, disability, genetic information, veteran status, or marital status