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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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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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Margaret Tarpo Department of Chemistry at Purdue University is seeking a highly motivated and creative Postdoctoral Researcher to join our team. Our research is centered on understanding novel mechanisms
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for Diabetes and Metabolic Diseases (CDMD), and Center for Computational Biology and Bioinformatics (CCBB). In particularly, the candidate will have the full access to training workshops and pilot grant
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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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facilities (reflectance point and imaging spectroscopy, FTIR, environmental analog chambers, etc.), support for external users of the lab through PRECISE, and science investigations utilizing the lab along
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discussions for other timelines are possible. Qualifications: PhD in a broadly related field (e.g., cognitive science, computer science, psychology, learning sciences, linguistics, speech-language-hearing
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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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the strengths of modern biotechnology and computational tools to address essential questions in life sciences including plant biology and crop sciences. Required Qualifications PhD degree in genetics, genomics
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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