45 high-performance-quantum-computing "https:" Postdoctoral research jobs at Texas A&M University
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RNA-seq, ATAC-seq, and ChIP-seq. Experience in working with high-performance computing environment. Experience in data management and developing data-processing pipelines. Proficiency in programming
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physics, astronomy, atomic physics, quantum optics, condensed matter physics, high energy physics, nuclear physics, and related areas. We offer our students a variety of graduate and undergraduate degree
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Astronomy is home to internationally leading research in applied physics, astronomy, atomic physics, quantum optics, condensed matter physics, high energy physics, nuclear physics, and related areas. We offer
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research in applied physics, astronomy, atomic physics, quantum optics, condensed matter physics, high energy physics, nuclear physics, and related areas. We offer our students a variety of graduate and
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, astronomy, atomic physics, quantum optics, condensed matter physics, high energy physics, nuclear physics, and related areas. We offer our students a variety of graduate and undergraduate degree options
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Astronomy is home to internationally leading research in applied physics, astronomy, atomic physics, quantum optics, condensed matter physics, high energy physics, nuclear physics, and related areas. We offer
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relevant software like Igor Pro, Origin, or WMOSS. Ability to work with computers and computational approaches. Ability to multi-task and work cooperatively with others. Ability to perform all tasks and job
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. Contribute to IQSE projects on quantum heat engines, quantum gravity, and entanglement. Write scientific papers, present at conferences, and prepare presentations. Supervise, train, and mentor graduate
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lasers. Contribute to IQSE projects on quantum heat engines, quantum gravity, and entanglement. Write scientific papers, present at conferences, and prepare presentations. Supervise, train, and mentor
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communication skills. First-author publications at NeurIPS, ICLR, ICML, AAAI, KDD, or IJCAI. Experience working with large-scale, noisy, or real-world datasets. Experience with GPU-based training and high-performance