30 parallel-computing-numerical-methods Postdoctoral positions at University of Washington
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research experiments, assesses findings, and compiles comprehensive reports. Maintains instruments, develops new methods, and optimizes existing ones. Keeps meticulous records of procedures and research
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Position Summary The Marti Lab builds next-generation imaging tools and AI methods to track how health, aging, and disease unfold deep inside living organisms, over weeks to lifetimes. Job
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learn advanced instrumentation, 3D data analysis, and AI methods in close collaboration with engineers and physicists. We work closely with lab members to develop the skills, confidence, and creativity
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pulmonary vascular endothelial cells contributes to pulmonary vascular remodeling. Our current research program includes investigations into the role of hyperactive mTOR (mechanistic target of rapamycin) in
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understanding of epigenetic and transcriptional regulation of gut epithelial cell differentiation. This postdoctoral researcher will combine wet-lab molecular biology methods, dry-lab bioinformatic analysis, and
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or interests in programming languages such as R or Python. Independence to lead a project as well as willingness to work in a team. An open mind to learn new methods from other researchers and collaborators
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regulatory control of numerous virulence factors in different host niches. We are seeking an energetic, highly-motivated postdoctoral research associate to carry out in vitro and in vivo experiments
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. Computational and bioinformatic skills. Experience in microscopy. Generation and analysis of mouse models. Handling of human samples. Molecular biology skills including CRISPR, cloning and qPCR. In vitro cell
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in a team. An open mind to learn new methods from other researchers and collaborators. Good scientific presentation and writing skills. Preferred Qualifications Education: No additional education
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the Required Qualifications section. Work Experience: No additional work experience beyond what is stated in the Required Qualifications section. Skills: Collaboration, Computational Biology, Data Analysis, Data