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postdoctoral researcher for pioneering research at the convergence of artificial intelligence (AI) and materials science. The ideal candidate should possess expertise in scientific machine learning (SciML
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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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seeking hands-on experience in biostatistical research within a dynamic academic environment and aiming to make impactful contributions to the field. For additional information about the position, please
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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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to PhD students and other early-career-scholars on the research team. Support the team with data cleaning, project management, and grant submission tasks as needed. Other tasks include various writing and
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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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CV/resume Two publications/writing samples Statement of research interests Contact information for three references who can comment on your scholarly accomplishments and promise. Submit all materials
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documents: CV/Resume Cover letter Contact information for 3 references Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all