11 assistant-professor-computer-"https:"-"https:"-"UCL" research jobs at Indiana University
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assistants • Write scientific publications and present findings Required Qualifications • MA in computational social science, digital humanities, computer science, or related field • Python proficiency
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(MEDT) Campus IU School of Medicine Terre Haute Position Summary The laboratory of Associate Professor Scott Canfield at Indiana University School of Medicine – Terre Haute, is seeking a talented and
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, CRISPR genome editing, CUT&RUN/ChIP, scRNA-seq/scATAC-seq, super-resolution/expansion microscopy, calcium imaging, proteomics, hydrogel fabrication/characterization, bioprinting and computational modeling
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e-mail to Professor Lei Yang, Ph.D. (lyang7@iu.edu). Additional Qualifications Special Instructions Priority Application Review Deadline Expected Start Date Posting Number IUSM-02216-2025
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bioinformatics and biomarker research. This position focuses on the integration and analysis of complex biological data to identify and validate kidney disease biomarkers. Research Focus Our program leverages
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. Knowledge and understanding of modern molecular biology, immunology and biochemical techniques including ChIP-sequencing and other multi-omics techniques is a plus. Strong analytical and computer skills are
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Posting Details Position Details Title BME Postdoctoral Fellow - Cardiovascular Medicine Specific Title Appointment Type Postdoctoral Fellow Department IUSM - Cardiovascular Medicine Campus IU School of Medicine Indianapolis Position Summary A postdoctoral position is available late summer of...
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). The postdoctoral fellow is expected to collect and analyze data, summarize findings, and participate/assist in the preparation of scientific manuscripts, abstracts, posters, and possibly grants. The duties also
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, statistical genetics, bioinformatics or computational biology. We are particularly keen to attract a candidates who already have experience and/or training in the statistical methods used in genetic and
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funding. The prospective candidate should be willing to work in a collaborative environment, assisting graduate students, supervising undergraduate students and presenting their work in shared lab meetings