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applications for a postdoctoral fellowship position to join a project investigating trafficking risks in charcoal supply chains in Brazil. The position is open to recent graduates of PhD programs in statistics
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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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the robustness to address national security challenges in cybersecurity. In particular, the postdoc will focus on applying reinforcement learning to discover vulnerabilities and failure modes in software systems
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Department of Dermatology provides a robust research environment with a strong community of scientific colleagues and students for collaboration. Required Qualifications: A PhD in one of the following
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competitive funding if interested. Maintain meticulous research records and support operational/reporting responsibilities associated with clinical research. Required Qualifications: A PhD in computational
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findings to both scientific and non-scientific audiences. Contribute to writing research papers and grant proposals. Train and mentor students and research assistants as needed. Required Qualifications: PhD
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faculty, PhD students and researchers. The ideal candidate will have earned a Ph.D. in applied science and engineering discipline, with demonstrated expertise in a complementary area (e.g., a Ph.D. in
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, minimal residual disease (MRD) detection, and the multi-omic characterization of various cancer types. Required Qualifications: PhD in related fields such as computational biology, cancer biology, and