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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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. The successful candidate should also be detail oriented and enjoy a diverse working environment. Required Qualifications • PhD in biology, neuroscience, genetics or related field. PhD must be awarded no more than
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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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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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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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on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual
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, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches
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development. Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic