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data management. • Desire to succeed in a fast-paced research environment with multiple duties. • Demonstrated attention to detail, organizational skills, and excellent communication skills. • Ability
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research at the intersection of computational materials science and machine learning. Required Qualifications - Ph.D. in Materials Science, Physics, Chemistry, Chemical Engineering, or a closely related
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immunohistochemistry and fluorescent in situ hybridization. • Scientific Communication: Present research findings in lab meetings, conferences, and publications. • Grant & Literature Research: Contribute to grant
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the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse
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inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional
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inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional
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/co-first-author original research papers. - Strong programming skills in Python or R, and Linux Shell. - Creative, independent, and highly motivated, with good communication skills Preferred
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the effect of inhibitor(s) on therapeutic intervention of HEV-related neurological sequelae. The candidates are expected to have good written and communication skills, and effectively collaborate with other
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remaining. • Self-motivated and able to work independently and collaboratively • Strong communication skills • Proficiency in R, Python, or MATLAB • Familiarity with spatiotemporal analytical approaches and
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also assist with grant writing, supervise junior trainees, and initiate new data collection, including activities surrounding study design, IRB submissions, community and participant engagement, and