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expertise in genomics and bioinformatics. The Postdoctoral Scholar will join a team of collaborators investigating the roles of gene duplication and introgression in how wild rodent herbivores metabolize
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Tenure-based Research Staff Scientist Position in Bioinformatics to Innovate Single-cell Analyses Full
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Apply now Job no:536125 Work type:Full Time Location:Sydney, NSW Categories:Post Doctoral Research Associate, Senior Research Associate Research Associate/Senior Research Associate (Bioinformatics
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-quality journal publications. Assist in supervising research students in the group. Job Requirements: PhD in microbiology, bioinformatics, computational biology or a related field. Experience on python
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benefits, a wide variety of professional development opportunities, supportive work and family benefits, a wealth of health and wellness programs and resources, and much more. Posted Job Title Bioinformatics
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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 29-Oct-25 Location: San Francisco, California Type: Full-time Categories: Staff/Administrative Internal Number: 86634BR This is a 100% full-time position, divided into 50% research and 50% clinical laboratory (UCSF...
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Applications should contain: Cover letter, to be addressed to Prof. Michael Heneka CV, including periods of absence from work such as family-related leave and career breaks Statement of future research, teaching and other activities (max. 5 pages) Short description of the three most important...
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research group in the field of bioinformatics or related areas Lead impactful interdisciplinary research by reaching out to the experimental, computational and clinical research groups within
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detection from clinical samples. Required Qualifications BA/BS/MS or PhD in computer science, bioinformatics, or related field At least one year of basic biology knowledge Computer science and/or
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main author (first or last). Candidates must have experience in bioinformatics for processing next generation sequencing (NGS) data, especially methylation analysis using long-read sequencing (LR-Seq