46 web-programmer-developer-"PhD-Jobs.NET" Postdoctoral positions at University of Washington
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, single-cell multiomics, tissue engineering, and animal models. Our current research primarily focuses on four key areas: 1) Developing robust, chemically defined differentiation protocols to generate
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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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are expected to have experience with basic molecular/cell biology techniques, as well as with stem cell and/or animal models of disease. Postdocs in the Arnold lab will be encouraged to develop new technical
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and present interpretations in group meetings as well as prepare manuscripts for collaborative publications in peer reviewed journals. We are currently looking for staff with experience in qualitative
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, currently 35+ dynamic members, developing bioinformatics, analyzing multi omics data and performing functional genomics analyses to explore the frontiers of AD. Job Description Primary Duties
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in adaptive immune systems (e.g., co-evolution of bacteria and phages, as well as T and B cells with pathogens). • Physics-informed machine learning of biophysical systems (e.g., developing optimal
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science, econometrics, and integrated assessment modeling to develop and implement a strategy for integrating health into the SSP narratives and quantifications. The ideal candidate is analytical, organized
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activities and psychological stress. Duties/Responsibilities The researchers will contribute specifically through: Gathering data, developing and implementing machine learning models, and interpreting findings
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and work side-by-side with his lab members, and importantly 3) develop and take ownership of independent projects and proposals either derived from arginylation’s new directions or their own research
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of developing computational tools to solve previously unattainable problems through creative use of big data in the biomedical and clinical research. Combining bioinformatics and experimental approaches