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Python Proficiency: Demonstrate expertise in Python or a similar high-level programming language is essential for developing algorithms and backend logic Azure DevOps Experience: Familiarity with Azure
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advanced statistical methods to mine and analyze complex and unstructured data sets. Offers complex analysis and utilizes advanced algorithms and statistical software. Adheres to all protocols. Essential
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to create analytic data cohorts (study cohorts). Apply machine learning methods on clinical datasets to identify predictive factors – selecting algorithms, preprocessing data, training models, and evaluating
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female and underrepresented minority candidates. Please include in your application a cover letter, curriculum vitae, and contact information for three references to Prof. Ramakrishna Mukkamala (rmukkamala
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research program. The candidate is expected to have conducted several years of postdoctoral research, strong publication record, experience in studying genome maintenance pathways, and excellent written and
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to oversee their high throughput omics project design, data analysis, and data presentation. The incumbent will also be responsible for collaborative computational and informatics research projects involving
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Cancer Center to oversee their high throughput omics project design, data analysis, and data presentation. The incumbent will also be responsible for collaborative computational and informatics research
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Technician I in the Gao Lab. The research will focus on development of novel gene editing technologies and translation of precision gene editing to treat genetic diseases. Job Summary Performs laboratory
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. Successful candidates will have the ability to work with a multi-disciplinary program team from RTI, Northwestern, and University of Pittsburgh to solve complex problems in the areas of substance use disorder
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. The successful candidate will be expected to build an independent research program and participate in the training activities of the department, including classroom lectures and mentoring MD or PhD students