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-renowned research institute and work closely with PhD students, PostDocs, software engineers and faculty members on developing cutting-edge AI ready data management. We’re working on extending and
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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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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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, immunohistochemistry, and/or histology analyses. Molecular biology methods (e.g., RNA interference, Western blotting, PCR, qPCR, ELISA). Cell culture, including IPSCs or organoids, and functional assays. Surgical and/or
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and collaborative discussions. Ensure compliance with IRB protocols and data security standards. Minimum Qualifications PhD in Epidemiology, Nutrition, Public Health or related field. Experience in
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their PhD program. Scholars are expected to be in residence during their tenure, participate in seminars, and contribute to the broader intellectual community. It is expected that fellows will teach one
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comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job. Minimum Qualifications Preferences The successful candidate should have a PhD and/or MD titles
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Qualification PhD awarded within 2 years Knowledge of antibody and memory B cell responses Knowledge in molecular immunology or cell signaling pathways Retroviral/lentiviral transduction in immune cells Type