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The Quantum Semiconductor Systems Group under the direction of Prof. Michael Manfra seeks a scientist with expertise in semiconductor nanofabrication to support several projects related to the development and
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, engineering, or chemistry prior to the start date. Please email Prof. Lee R. Liu at leeliu@purdue.edu with your CV, contact information for 2-3 references, and a brief research statement outlining your
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immediately and is expected to run for 2 years, with opportunities to seek additional funding. Please direct all questions to Prof. Briony Horgan (briony@purdue.edu). Applications must include a CV and a
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. A background check is required for employment in this position. The position will remain open until filled. Please direct all questions to Prof. Michelle Thompson (mthompson@purdue.edu). Education 0
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and great opportunity of interdisciplinary training in machine learning and functional genomics. The project combines cutting-edge computational approaches, especially state-of-the-art machine learning
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. Our group focuses on understanding molecular mechanisms and metabolic signatures in Alzheimer’s disease (AD) through computational and systems biology approaches. The postdoctoral researcher will lead
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, Physics , Quantum Computation , Quantum Computing , Quantum Condensed Matter Theory , Quantum error correction , Quantum Field Theory , Quantum Information , Quantum Information Processing and Communication
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-reviewed publications and contributing to the development of funded research. Preferred: An engaged scholar with experience in grant writing and program building. Application Procedure Applicants must submit
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Qualifications: We seek exceptionally strong candidates with a PhD in statistics, biostatistics, computer science or a related field. Candidates with demonstrated accomplishment in academic research, as can be
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the culture of the College of Liberal Arts (#ThinkBroadlyLeadBoldly). Pay band: In addition to annual salary of up to $75,000, this position provides office space, computer equipment, and $2500 in yearly