23 phd-cognitive positions at University of Texas MD Anderson Cancer Center in United States
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software applications. Interprets data with knowledge and experience for hypothesis and model suggestion. Troubleshoots experiments, improves research methods and revises approaches to advance lab projects
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, including but not limited to: maintenance of safety manuals and performance of laboratory testing of equipment. Takes required training and passes annual examinations. Maintains knowledge of all safety
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* Design and perform high quality lab research through their own work or in collaboration with team members. * Apply practical knowledge of immunology and cell-based assays including cytotoxicity, cell
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% -- -- -- -- -- -- -- Education Required: PhD in one of the natural sciences or related field or Medical degree. Preferred Education: PhD in Immunology or related field. Experience Required: Five years of experience in
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the mechanisms of action of lymphoma therapeutics. • Performs immunophenotypic and transcriptional assays on immune cells. • Requires a working knowledge of animal research and flow cytometry. • The immunological
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with MLOps tools and processes for data, code, and model management. Strong proficiency in Python and either C++ or C#, with practical knowledge of TensorFlow, PyTorch, and Scikit-learn. Knowledgeable
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COMPETENCIES Computational Analysis Experience analyzing and interpreting NGS data such as RNA-seq, Chip-Seq, Ribo-Seq. Any prior experience in analyzing ONT (Oxford Nanopore) data will be helpful. Knowledge
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data to clinicians for peer reviewed grant applications. Maintain up to date knowledge of fundamental concepts by either reviews of the literature, attendance at seminars/meetings and/or course work
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biology, immunology and/or cancer biology to drive projects in a multidisciplinary and exciting research team environment. Has in-depth knowledge and skills to elucidate disease mechanisms and cell
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and clinical setting and test patient selection strategies. 10. Develop extensive knowledge and experience in key areas of tumor biology including, but not limited to oncogenic signaling, tumor