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Field
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cytometry - Confocal microscopy - Single-cell genomics - Bioinformatics and transcriptomic analysis - Gene delivery systems - Musculoskeletal or cartilage biology - Excellent written and verbal communication
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. Familiarity with NGS data analysis and command-line bioinformatics (e.g., CRISPResso, Python or R). Experience mentoring students or technicians and coordinating lab operations. Special Instructions
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our Cancer Epidemiology with Real-World Data (RWD) Training Program. The Training Program provides epidemiology and bioinformatics Postdoctoral Associates with training in how to combine traditional
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, or computational analysis (e.g., R, Python, UNIX, bioinformatic pipelines) is highly desirable. Candidates should have a strong publication record, excellent communication and organizational skills, and the drive
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be able to provide evidence that all requirements have been met for completion of the Ph.D. prior to the effective date of hire. Applicants should have virology and bioinformatics experience with
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bioinformatics, systems biology, molecular genetics, biochemistry, molecular biology, or biological sciences are encouraged to apply. Visa sponsorship is available for this position. Outstanding U of A benefits
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“drylab” techniques. Current drylab approaches focus on bioinformatics, including emerging artificial intelligence models. Current wetlab approaches focus on RNA and chromatin biology. Candidates should
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bioinformatics is desired. Major duties and responsibilities: Carry out ongoing research projects, including potentially · conducting functional tests of human gene variants detected in patients with
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Full time, 3 years fixed term, located on the Camperdown Campus at the School of Mathematics and Statistics Work with leading researchers in statistics and bioinformatics to develop innovative
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community. We are particularly interested in candidates with: Strong computational and bioinformatics expertise combined with interest in cancer biology and gene regulation. Background can be PhD or even MSc