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. - Strong quantitative skills and experience coding in MATLAB or Python - Track record of publications and presentations. - Experience in mentorship and/or teaching. Preferred Qualifications • Demonstrated
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. - Experience with flow cell, GC, HPLC, in-situ IR & Raman, DEMS. - Strong scientific textual & oral communication skills. - Desire to mentor junior researchers - Readiness and ability to interact professionally
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molecular biology and genetic engineering of eukaryotic microbes. Experience with synthetic biology tools such as modular cloning, CRISPR/Cas systems, and transcriptional regulation. Demonstrated ability
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Physics, Theoretical Quantum Chemistry or a closely related field. Prior postdoctoral experience. Preferred Qualifications - Familiarity with the stabilizer formalism and the theory of quantum graph states
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the Biological Sciences Department and across departments in the Virginia Tech Translational Plant Sciences Center. Moreover, the applicant will experience a vibrant university environment in the heart of the
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or similar programming languages). A basic knowledges and deep interest in neuroscience are required. Preference will be given to candidates with experience in in vivo neurophysiology and/or computational data
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awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining. - Experience in high-throughput sequencing data analysis. - Track record of first
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of appointment with a minimum of one year eligibility remaining. Preferred Qualifications - Prior experience in viral immunology or molecular virology. Exempt: Not eligible for overtime Appointment Type Restricted
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to the effective date of appointment with a minimum of one year eligibility remaining. • A research background in geodynamics including familiarity with geodynamic software • Experience publishing in geophysics
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simulations, as well as experience with machine learning interatomic potentials. - Possess a robust understanding of chemical kinetics and thermodynamics, and be proficient in data science techniques to analyze