16 software-engineering-model-driven-engineering-phd-position Postdoctoral positions at Purdue University
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Associate Positions AI-Driven Software & Systems Research The newly established Intelligent Software & Systems Center (ISC) in the College of Engineering at Purdue University invites applications for a
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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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mouse models to investigate particulate matter, engineered nanomaterials, and other environmental pollutants induction of pulmonary injury, immune dysregulation, and lung disease pathogenesis. Ongoing
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Assistant position in AI, decision making, and risk. The selected candidate will join a vibrant community of faculty, staff, graduate and undergraduate students from social science and humanity programs in
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‘best-practices’ in semiconductor processing. Qualifications A successful candidate should have: M.S. or PhD in Physics, Electrical Engineering, Materials Science, or related Engineering discipline
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University Applications are invited for a Postdoctoral Scholar position in the Department of Psychological Sciences at Purdue University. The Scholar will conduct research in the Relationships and Mental
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human clinical trials. These skills, coupled with those developed in the Henderson lab (see below), will position the postdoc well for future faculty positions. This individual will have a unique
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Specialist cohorts. For full consideration, applicants should submit a CV and cover letter explaining their interest in the position by Friday, July 10th. Education PhD in Agricultural or Applied Economics
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. We are seeking an energetic and independent researcher who has a strong background in quantitative analysis of social surveys. To qualify for the position, a candidate must have completed a PhD by the
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candidate will play an active role in analyzing LZ data, with opportunities to improve simulation models used in rare-event searches, develop machine learning methods for background rejection, and place