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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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environment to develop and foster independent careers. Successful candidates will have the opportunity to use novel mouse models and cutting-edge multi-omics approaches to understand molecular mechanisms with
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at WashU School of Medicine in St. Louis. The Klechevsky lab is dedicated to understanding how dendritic cells and other myeloid cells influence the development of immunity and cancer. Our broad and
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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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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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, to define novel biomarkers, and to identify novel therapeutical targets. We have pioneered in the integration of genetics with omic data to identify proteomic signatures and develop novel predictive models
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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 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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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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, 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