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Dr. Zhaohui Gu’s lab, please visit: https://gu-lab.net and https://www.cityofhope.org/Zhaohui-Gu As a successful candidate, you will: Conduct independent and collaborative research in leukemia
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 1 day ago
within six months of the appointment commencement) and experience in statistics, data science, machine learning, bioinformatics, quantitative biology, or closely related fields. Candidates must possess
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development and to join a vibrant research community at the forefront of aging and longevity research. Additional information about the Department of Genetics is available at https://www.einsteinmed.edu
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collaboration with our bioinformatics unit) as well as apply advanced approaches and cutting-edge techniques for analysis of mouse models of diseases, primary tissue culture and human samples; including
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(bioinformatics, genomics, …) and research experience in the field of cancer genomics, although we welcome applications from candidates with diverse educational backgrounds, including computational biology, physics
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mass spectrometry Hands-on use of a mass spectrometry instrument for biomolecular characterisation, data analysis and interpretation Bioinformatic data analysis using statistical software packages
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fellow with strong expertise in bioinformatics and statistics to join our research team in the Departments of Ophthalmology, Cell & Developmental Biology, University of Michigan. Our research encompasses a
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job description please visit UCL’s online recruitment portal (https://www.ucl.ac.uk/work-at-ucl/search-ucl-jobs ) and search using vacancy reference B02-09995. To apply, please upload a current CV
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preparation. Conduct basic bioinformatics processing of sequencing data, including sequence quality control and taxonomic profiling where required. Support aptamer discovery and validation experiments
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use of computational bioinformatics and biostatistics techniques to investigate the biological correlates of cancer cachexia by analysing existing genomic and transcriptomic sequencing data from multi