31 high-performance-quantum-computing Postdoctoral positions at Iowa State University in Ireland-University-Ranking-2024
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and collaboratively and to communicate effectively across condensed-matter physics, materials science, quantum sensing, and quantum information science. Required Minimum Qualifications (for temps
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population genomic analyses of crop species Experience managing and analyzing large-scale biological datasets Experience using SLURM-based high-performance computing systems Demonstrated proficiency in R
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Position Title: Postdoctoral Research Associate in Electrical and Computer Engineering Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Department
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Position Title: Postdoctoral Researcher in Machine Learning and Computational Chemistry Appointment Type: Post Doc/Trainee Job Description: Summary of Duties and Responsibilities: The Postdoctoral
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Multiphysics, or comparable scientific software. Interest in connecting fundamental materials physics with superconducting quantum information science, in particular the performance of superconducting qubits and
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applied magnetic field. A major part of the project will also include close collaboration with theoretical and computational materials scientists. The postdoc will perform targeted exploratory reactions in
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data in a high-performance computing environment. Assist in the mentorship and supervision of more junior lab members. Interpret experimental results and prepare reports, presentations, and scientific
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Preferred Qualifications: Experience performing molecular biology techniques, including DNA isolation, RNA isolation, PCR, qPCR, and gene expression analysis. Experience operating high-performance liquid
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to federal research proposals, sponsored research applications, and collaborative project reports. Familiarity with scalable computing environments, cloud platforms, high-performance computing, distributed AI
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, transcriptomic, and proteomic datasets to uncover biological mechanisms and generate novel research insights. The successful candidate will apply bioinformatics and statistical approaches to analyze high