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bioinformatics/computer science will be essential. Prior experience with connectomics data is highly desirable. Our group has developed an international reputation in this area and our tools have now been used in
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programs that control stem cell development, and how these processes go awry in cancer progression. Our lab is equipped with cutting-edge metabolomics, genomics, molecular biology, and bioinformatics
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Scientists Workstudy Position: No Job Type: Regular Work Shift: Sponsorship Available: No Institution Name: University of Arkansas, Fayetteville Founded in 1871, the University of Arkansas is a land grant
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flexibility for weekend/evening hours as required for experiment needs. Qualifications Minimum Qualifications: Ph.D. degree in Computer Science, Bioinformatics, Computational Biology, or a related field
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- the changes occurring in Multiple Myeloma and Myelodysplasia. What is expected: Bioinformatic analysis (depending on the experience of the candidate): (i) support in the implementation and/or development
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, Bioinformatics, Molecular Biology, Developmental Biology, Computational Biology, etc.). Â Â Exceptional skills in molecular biology, genomics, human cell culture, and bioinformatics. Preferred Qualifications
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testing. We work with myoblast cell culture in 2D and myobundle culture in 3D. Biochemical (qPCR, western blot) and histological techniques are also employed. As a clinician scientist, Dr. Covert’s goal is
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in bioinformatics analysis is highly desirable. Excellent problem-solving and critical thinking skills. Excellent communication skills and ability to collaborate effectively within interdisciplinary
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microbiomes and interpret the data using bioinformatics tools. Collaborate with interdisciplinary teams of researchers, including soil scientists, biochemists, and ecologists. Publish research findings in peer
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Nature Careers | Vancouver South Shaughnessy NW Oakridge NE Kerrisdale SE Arbutus Ridge, British Columbia | Canada | about 1 month ago
. For those interested, there is also an option to learn and use in vivo cancer or diabetes models. Collaborative and Supportive Environment: You will collaborate closely with experienced scientists and