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microenvironment, and other biological processes. Conduct preclinical studies using in vivo disease models (cancer, inflammation, organ injury, etc.) and new alternative methodologies (advanced biological models
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independently and as part of a team. Strong organizational skills and attention to detail. Experience teaching student and/or professional cohorts. Working knowledge of natural language processing, topic modeling
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to implement the protocol, and overseeing the data collection and processing. Dr. Foti’s research uses EEG methods to study the pathophysiology of psychiatric illnesses. The candidate will support Dr. Foti in
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, refining, separation, process optimization, and simulation. The postdoctoral researcher will be supervised by Drs. Junli Liu and Nathan Mosier. Interested candidates should submit an application containing a
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://www.purdue.edu/provost/policies/promotion-research.html . The Department is an integral part of the College of Agriculture, one of the world’s leading colleges of agricultural, food, life, and natural resource
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@purdue.edu ) and Dr. Douglas Richmond (drichmond@purdue.edu ). The Department is an integral part of the College of Agriculture, one of the world’s leading colleges of agricultural, food, life, and natural
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The successful applicant will hold a Ph.D. in agricultural economics or related fields. The successful applicant should have experience using statistical programming languages, such as R, Python, SAS, etc
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technologies to diagnose, understand, and treat diseases. Details can be found on our website: https://www.zhanlab.org/ . The postdoctoral research will be working on projects at the intersection of bioMEMS
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simulation for detector support mechanics and cooling, as well as an in-house facility to design, develop and build silicon detectors. At Purdue we also operate a Tier-2 computer center, providing resources
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for detector support mechanics and cooling, as well as an in-house facility to design, develop and build silicon detectors. At Purdue we also operate a Tier-2 computer center, providing resources for data