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coding languages, such as R and Python Willingness to learn new methods and pipeline development by interacting with others Willingness to help train others Ability to read literature and learn vision
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clinical translation Collaborative mindset with enthusiasm for mentoring and teaching junior researchers Fluency in English The role The successful candidate will lead the computational single-cell imaging
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. IU School of Medicine is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working
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host immune system. These responses are frequently HLA-restricted and mediated by T cell receptor (TCR) recognition. Learning Objectives: Under the guidance of FDA scientists, you will gain
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, spatial transcriptomics, single cell RNAseq, and multi-omics data integration. Lead graph-based network and machine learning analyses of tumor immune microenvironment architecture. Collaborate with wet lab
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, and publication list One educational or professional recommendation All documents must be in English or include an official English translation. If you have questions, send an email to ORISE.FDA.CBER
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from chip. Characterise and optimise the algorithm for signal data processing for real-time cell analysis. Develop a user-interface platform for end-user testing of clinical samples. Job Requirements
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study questions at multiple levels using genetically modified mouse models, preclinical mouse models, primary organoids, single-cell RNA-seq, proteomics, lipidomics, metallomics, standard molecular
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mobile learning pathways for both students and industry professionals. Through targeted support measures, Phortify promotes inclusion, mobility, and excellence in photonics education and training. As part
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Center for Biologics Evaluation and Research (CBER) | Silver Spring, Maryland | United States | 15 days ago
that enhance cell production of immunomodulatory factors. Learning Objectives: You will have the opportunity to learn how biomedical engineering tools would be used in the assessment of regenerative medicine