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to uncover vulnerabilities in complex systems, bridging gaps between traditional testing techniques and emerging security threats. This work involves developing novel techniques, algorithms, and software
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of scientific colleagues and students for collaboration. Required Qualifications: A PhD in one of the following: Epidemiology, Biomedical Informatics, Biostatistics, Public Health, Computer Science
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proficiency in research methodology and skills. Develop skills to identify key research questions and to formulate testable hypotheses. Design and execute studies that test those hypotheses. Present findings
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Materials: Please send your application materials to Adina Fischer, MD, PhD at adinaf@stanford.edu (link sends e-mail) . Does this position pay above the required minimum?: No. The expected base pay for
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): Computer Science or Informatics: Proficiency in programming and software development with a habit for robust unit testing. Our group mainly develops software in a Python + SQL environment with use of large language
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and machine learning based software to assist clinical workflow and pre-clinical studies. Recent software developed from the group has been adopted in the clinic and preclinic labs. The scientific
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excellent benefits and competitive salaries. Support is available for 1-year appointment with renewal up to 3 years of training and includes: Tuition, books, and software; Research-related costs; Conference
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and non-scientific audiences. Contribute to writing research papers and grant proposals. Train and mentor students and research assistants as needed. Required Qualifications: PhD in Neuroscience
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that test those hypotheses. Present findings at national conferences. Develop proficiency in manuscript writing and publishing. Become skilled in writing funded grant applications. Develop proficiency in team
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Hernandez-Boussard, PhD (link is external) at boussard AT stanford DOT edu, and include all required application materials. If you have general questions, please contact the Boussard Lab Program Manager