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Job Description Apply now Req Id: 42393 Job Title: Postdoctoral Research Associate - AI-Driven Software & Systems Research City: Indianapolis Job Description: Overview Postdoctoral Research
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to the Director of Purdue’s College of Liberal Arts Research Academy (CLARA), Professor Torsten Reimer, at [email protected]. Qualifications Minimum Qualifications: PhD in social science (e.g., cognitive and
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applies methods to extract quantitative information from high-throughput biological images. We seek a postdoctoral researcher to join our efforts to glean insights from large collections of images. There is
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of studying the interface between iron and lipid metabolism and may be the only one who will have received formal training in both areas. Additional Information Approximately half time will be spent studying
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on Aging (NIA) and includes an experience sampling methodology (ESM) study of daily cognition and social interactions in older adults, as well as multi-method data collected from the Minnesota Twin Registry
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exposures that can be leveraged for therapeutic benefit. Candidates must hold a PhD from an accredited institution in toxicology, environmental science, immunology, cell biology, biochemistry, or a closely
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qualifications and interest in the position and CV. The review of applications will continue until the position is filled. Education PhD in Biological Engineering, Chemical Engineering, Computer Science, Computer
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. The successful candidate will work closely with faculty, scientists, clinicians, informaticians, health professionals, and trainees across institutions to develop and apply computational methods for biomedical
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be leveraged for therapeutic benefit. Candidates must hold a PhD from an accredited institution in toxicology, environmental science, immunology, cell biology, biochemistry, or a closely related field
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, including foundations of AI, software systems and services, and applications in diverse disciplines. The Fellows program aims to identify and train intellectual leaders to shape the field of physical