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Alexandria, Virginia. The focus of these positions will be on quantum computing, quantum algorithms, quantum learning, quantum error correction, and quantum fault-tolerance. The successful candidate will join
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Qualifications - Experience in developing algorithms for analysis of biological data. - Experience with single cell and spatial transcriptome data analysis. - Experience in supervised and unsupervised machine
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leveraging advanced computational methods to address critical questions in pandemic prediction and prevention. Key Responsibilities: - Develop and apply modern machine learning algorithms and computational
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sensitivity genomic tools for the characterization of measurable residual disease (MRD) in patients with AML to predict and prevent relapse. This work includes multiple governmental and private sector
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• Ability to manage multiple tasks and exceptional time-management skills. • Ability to resolve issues in a timely manner and ensure smooth data collection appointments. Preferred Qualifications BS/BA in
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background in coding. • Ability to work effectively with a diverse team from multiple disciplines. • Strong communication skills. • Enthusiasm for leading experiments with human subjects. Preferred
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or experience with data management. • Desire to succeed in a fast-paced research environment with multiple duties. • Demonstrated attention to detail, organizational skills, and excellent communication skills
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laboratory research experience in a neuroscience laboratory • Experience working with EEG datasets • Desire to succeed in a fast-paced research environment with multiple duties • Experience working with
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. The candidate will have the opportunity to work on a project with focus on gene discovery and biosynthesis of plant volatile compounds with multiple values as natural defenses, flavors, and industrial value
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excellent opportunity for a motivated and detail-oriented person who enjoys interacting with others, being a key part of an active scientific environment, and managing multiple project duties. This position