46 algorithm-development-"Multiple"-"Prof"-"UNIS" positions at Virginia Tech in United States
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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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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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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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Associate. Led by Dr. Meike van der Heijden, the lab aims to study the development of cerebellar function in health and disease. The lab goals are to understand why perturbations to the cerebellum can lead to
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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
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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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Job Description The Department of Agricultural and Applied Economics invites applications for a postdoc position to develop and provide annual estimate of land use values of open space for all
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passionate about systems and circuit neuroscience, offering a stimulating and collaborative environment, cutting-edge tools, and strong mentorship for scientific and career development. Recent highlights from
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Technical Education and Workforce Development in planning, designing, implementing and leading collaborative approaches to Engineering and Computer Science-focused programs for K-20 students (elementary