1,119 data-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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mentoring graduate students or research assistants. Familiarity with electronic health record data and repository development. Prior involvement in grant writing and manuscript preparation. Be Bold. Essential
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recombinant approaches to define mutations impacting Staphylococcus aureus biology and pathogenesis using in vitro and in vivo models. ● Document data generated in studies, analyze data with appropriate
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techniques to solve pressing challenges in energy storage. The successful candidate will work in the Data Science and Learning division of the Computing, Environment, and Life Sciences directorate of Argonne
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 12 hours ago
Posting Description POSTDOCTORAL ASSOCIATE, Chemistry, will lead design and development of an open-source Python-based package for the prediction and analysis of spectroscopic data, primarily
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. Additional Qualifications Special Instructions Contact Information Shree M Contact Email econacademicappointments@fas.harvard.edu Salary Range $80,000 – $95,000 Minimum Number of References Required 3 Maximum
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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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controlled environment systems -Strong ability to formulate hypothesis, design experiments, handle scientific data, perform statistical analysis, and write scientific reports -Evidence of publications in peer
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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: Post Doctoral Scholar Department: Medicine
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for more information. Notice of Non-Discrimination and Equal Opportunity The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity
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loading conditions. • Develop and validate computational models (FEA/FSI) of cardiac valves. • Integrate experimental data with simulation results to evaluate stress and strain