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heavy software development component. The successful candidate will perform research in the application of machine learning (ML) techniques to the finite element method (FEM) in the context of composites
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that enable cells to restore proteostasis following acute translational stress. Elucidating the regulatory mechanisms of the Ribotoxic Stress Response. Defining the mechanisms of translational repression
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of infections and other chronic diseases. We will provide mentorship to enable competencies for the job, grant writing, and foster networking through collaboration both within and outside the institute
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. Elucidating the regulatory mechanisms of the Ribotoxic Stress Response. Defining the mechanisms of translational repression regulated by the Integrated Stress Response pathway in cancer. Ideal candidates will
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population-based research and statistical modeling. Strong publication record and scientific writing skills. Proficiency in statistical software (e.g., R, SAS). Ability to work independently and
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. · Experience in population-based research and statistical modeling. · Strong publication record and scientific writing skills. · Proficiency in statistical software (e.g., R, SAS