29 algorithm-development-"Multiple"-"Prof"-"UNIS" Postdoctoral positions at Virginia Tech in United States
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and conference publications, research proposals, preparing project documents and project presentations, assisting in the organization of a workshop, working with large datasets, and developing
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availability of funding. The successful candidate will join a vibrant group of graduate students, postdoctoral scholars, and faculty in quantum information theory across multiple departments on campus
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applications to biological questions. • Solid background in coding. • Demonstrated ability to work effectively with a diverse team from multiple disciplines. • Demonstrated ability or potential to lead graduate
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interaction in remote construction settings. Key Responsibilities include: Conduct research on autonomous construction assembly, off-site manufacturing strategies and logistics optimization. Develop and
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postdoctoral associate will be responsible for developing novel techniques for designing organoids and analyzing their properties using biochemical and molecular biology techniques. The postdoctoral associate
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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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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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behavioral experiments combined with optogenetic, chemogenetic, and pharmacological manipulation of neural circuit function. • Experimental Setup: Develop and maintain behavioral and recording systems. • Data
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initiatives include developing advanced aqueous emulsion and suspension systems for spray coating, predictive modeling of packaging performance, and optimizing packaging designs for high-value product