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researcher will collaborate closely with the Gokcumen Laboratory (Department of Biological Sciences ), which focuses on evolutionary and bioinformatics approaches, to explore how lipid-related genes and
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
shared resources, including the following: An integrated support structure for brain organoids In vivo and ex vivo cellular imaging platforms Bioinformatics support Production of genetically engineered
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specialized departmental shared resources, including an integrated support structure for rodent behavior testing, brain organoids, in vivo and ex vivo cellular imaging, bioinformatics, production of genetically
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colleague with extensive experience with plant genomics, plant-microbe interactions, greenhouse work and/or bioinformatics, as well as some experience in microbial work and fieldwork in coastal marshes
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diseases, including cancer • Conduct cellular and molecular biology experiments • Produce and purify AAVs (adeno-associated viruses) • Conduct bioinformatic analysis of data 20% Professional Development
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Qualifications PhD degree in any relevant field of Biology Molecular biology or bioinformatics skills Preferred Qualifications Ph.D. or M.D./Ph.D. in molecular biology or computational biology Demonstrated ability
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Number: JR90399 Position Summary The Cooper lab at WashU is seeking a post-doctoral research fellow with a strong background in immunology and bioinformatics to work on projects related to understanding
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(or equivalent) in any relevant field of Biology Molecular biology or bioinformatics skills Preferred Qualifications Ph.D. or M.D./Ph.D. in Neuroscience or Genomics Demonstrated ability to work independently and
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, pharmacology, engineering, bioinformatics, or a related field. Preferred: Prior pharmacokinetic modeling or machine learning experience using software such as R, Python, MATLAB, GastroPlus, PK-Sim, Phoenix
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culture of scientific excellence, teamwork, and rigorous innovation Qualifications: Ph.D. in Computer Science, Computational Biology, Bioinformatics, Pharmaceutical Sciences, or equivalent In-depth