72 high-performance-quantum-computing-"https:"-"https:" PhD positions in United States
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in computer science education and/or AI in education Produce high-impact scholarly publications in peer-reviewed journals and top-tier national conferences Secure and contribute to external research
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Systems (S3D) department within the School of Computer Science explores the vital intersection of the confluence of software, systems and society to understand how computational biology might better serve
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background in Computational Biology/Genetics/Genomics/Bioinformatics/Molecular Biology. Candidates with expertise in applying AI/ML to high-throughput omics data, processing, and curating large-scale omics
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ATMPs via the European Medicines Agency: https://www.ema.europa.eu/en/human-regulatory-overview/advanced-therapy-medicinal-products-overview If you are curious, internationally minded, and driven by a
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analysis both locally and as part of the CMS computing Grid. The position offers exciting possibilities in the analysis of the new 13.6 TeV collision data towards quantum tomography of top quarks
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A1096 Working Title PhD - Research Assistant - Computer Science Location Edinburg, Texas College College of Engineering and Computer Science Department College of Engineering and Computer
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initially be for one year, renewable for additional years following performance review and funding availability. Basic Qualifications Ph.D. in computer science, applied physics, applied math, or a related
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cytometry assays is required · Experience of independent operation of a high-speed cell sorter is required · Experience of managing staff is required · Strong communication skills (verbal and written
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performance on large-scale electronic health records. The fellow prepares manuscripts for high-impact journals and contributes data to federal grant proposals. Job Responsibilities: Applicants must possess a
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the context of critical illness. This position focuses on computational modeling of host-response mechanisms using high-dimensional multi-omics datasets. The fellow develops novel computational pipelines