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synthesis procedures for the formation of porous materials and their organic linkers. Characterize structure and physical properties of materials and determine structure-property relationships with x-ray
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running mouse experiments on aging and disease. Analyzing rich, longitudinal datasets of tissue structure and function. Preferred Qualifications Education: No additional education beyond what is stated in
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NASA. The researcher will utilize multi-decadal satellite imagery and deep learning techniques to analyze temporal trends in urban structure and their impacts on microclimate, focusing on extreme heat
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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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progression. The models are informed by a variety of experimental data, utilize different model structures/modeling techniques, are often closed source or coded in proprietary software packages with poor
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Qualifications: Experience with regulatory genomics, noncoding variant interpretation, or genome assembly/structural variant detection. At least two first-author publications in peer-reviewed journals. Strong
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interdisciplinary environment where world-class researchers with expertise in computing and software, biochemistry, genome sciences, biological structure, pharmacology, immunology and other basic science disciplines
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will have the opportunity to work with the broad Neuroscience community at the WashU. Our lab has established collaborations with investigators specializing in electrophysiology, large volume electron
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process, please refer to our External Applicant FAQ . Accommodation If you are unable to use our online application system and would like an accommodation, please email CandidateQuestions@wustl.edu or call
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repository and computer servers. Run existing PET/MR brain image processing pipelines on the computer servers, produce the results, and communicate with the group members. Write computer codes for the above