59 parallel-processing-bioinformatics-"Multiple" Postdoctoral positions at University of Washington
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: Bioinformatics, Flow Cytometry, Immunology, Mammalian Cell Culture, Molecular Biology, Mouse Models, Sample Analysis Questions For frequently asked questions about the application process, please refer to our
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of neuronal loss to better understand why neurons die or axons are damaged to ultimately establish new strategies for the preservation or restoration of neural tissue. We use multiple approaches, but focus
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biologist to join our interdisciplinary team of research biologists, medical doctors, engineers, mathematicians, and computer scientists studying cancer and other human diseases. We are at the forefront
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parallel computing techniques including working in the cloud. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications
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coarse- grained models of proteins within condensates). These topics share deep conceptual parallels. By advancing concepts in non-equilibrium statistical physics, the group aims to uncover the general
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Position Summary The laboratory of Dr. Guangyong Peng in the Department of Otolaryngology-Head & Neck Surgery, at WashU Medicine in St. Louis, has an immediate opening for a Postdoctoral Research
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Position Summary The Liu lab at WashU Medicine is recruiting motivated, productive, independent, and collegial postdocs interested in using bioinformatics to interrogate gut immunity. Our lab
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the following objectives: 1. Characterize 3-D Urban Structure and Change: Utilize data from multiple remote-sensing platforms and deep learning algorithms to generate high-resolution maps of 3-D urban structure
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for this position. Work Experience: No specific work experience is required for this position. Skills: Animal Models, Bioinformatic Analysis, Cell Cultures, Communication, Critical Thinking, Library Construction
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candidates with expertise in iPSC biology, functional genomics, developmental biology, cardiovascular disease, and/or bioinformatics to explore the intersection of cardiovascular physiology, cancer biology