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Engineering, Chemistry, Biochemistry, or related scientific discipline Experience 1. Familiar with various cheminformatics, bioinformatics, data science, retrosynthesis algorithms for enzymes. 2. Experience in
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expert at the intersection of applied innovation and scholarly publishing. By synthesizing complex research in the technology domain, the Fellow will help PPI faculty translate diverse technical
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and Computer Engineering, Computer Science, Industrial Engineering, Artificial Intelligence, High-Performance Computing, and related areas to accelerate innovation in intelligent software technologies
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the College of Liberal Arts at Purdue and will be involved in interdisciplinary projects including faculty from communication, psychology, and engineering at Purdue and Rice University. This is an academic year
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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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disabilities, and veterans are encouraged to apply. Education The successful candidate: Has a Ph.D. in microbiology, infectious disease biology, pharmaceutical sciences, biomedical engineering, chemical biology
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. in Physics, Materials Science, Electrical Engineering, or a related field by the start date. Preferred Qualifications: Hands-on experience in nanofabrication techniques (e.g., electron-beam lithography
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. This work has the potential to transform how both the targets and therapies for disease are identified. We aim to revolutionize the process of drug discovery in several projects, including: Identify
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to neutrinoless double-beta decay, a process that violates number conservation. Our group is involved in many aspects of the LZ experiment, from detector calibration, simulations to data analysis. The successful
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with world-leading sensitivity to major particle dark matter candidates. It also provides sensitivity to neutrinoless double-beta decay, a process that violates number conservation. Our group is involved