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, dissemination of research through publications, and mentoring PhD students. The labs’ extensive collaborative networks, both nationally and internationally, span various disciplines, offering diverse applications
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will apply state-of-the-art machine learning algorithms and custom disease-relevant genomic datasets (e.g., coronary artery single-nucleus chromatin accessibility and RNA sequencing) to develop targeted
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of national research infrastructures. The ideal candidates will have a PhD in a discipline closely related to computational social science by date of appointment (e.g. network science, computer science, data
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, National Institutes of Health, William T. Grant Foundation, etc.). Support the data use agreements for ongoing projects, which may include research activities related to obtaining, modifying, and continuing
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will have a PhD with experience in relevant areas of biology, first-author publication(s), and the ability to work well in a highly interactive, creative, and collaborative environment. Postdoctoral
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from the NIDDK and focuses on investigating the role that T1D risk variants play in islet autoimmunity through advanced single-cell techniques. The lab seeks an independent, highly motivated PhD-level
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of renewal contingent upon satisfactory performance and the availability of funding. Minimum Qualifications: Education: PhD, MD, or equivalent degree is required at the start date. Experience: The ideal
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, other duties may be assigned. Minimum Requirements Qualified candidates must have a PhD in Immunology, Microbiology, Neuroscience, or a related field by the appointment start date. For additional
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data issues. Utilizing machine learning techniques as appropriate for data analysis. Developing computing programs and software to support research initiatives. Applying new methodologies to real-world
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applicants interested in developing a research program in the field of cancer biology are welcomed to apply. Expertise in the fields of molecular biology, cell biology, and genetics are expected. Experienced