18 algorithm-"Multiple"-"U"-"Simons-Foundation"-"Prof"-"UNIS"-"DIFFER" positions at Virginia Tech in United States
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. - Strong proficiency in machine learning, optimization algorithms, and computational modeling applied to construction systems. - Experience with designing and conducting experimental studies to evaluate
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and record keeping ● Adaptability managing multiple projects at the same time ● Handling veterinary species such as dogs, cats, horses, cattle and pigs ● Experience with large animal infectious disease
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leading research projects to completion as evidenced by multiple first-author publications • Clear communication skills as evidenced by presentation of data at national conferences, seminar presentations
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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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neuroscience. This hybrid role integrates technical research operations with data and business coordination across multiple sites. The successful candidate will facilitate research participant engagement, manage
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publications • Experience and background in managing multiple projects simultaneously • Excellent communication skills Preferred Qualifications • Experience with induced primary, cancer and pluripotent stem
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management with attention to detail - Ability to work both independently and as part of a multidisciplinary team - Demonstrated ability and desire to succeed in a fast-paced research environment with multiple
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and communication skills. • Ability to work independently and as part of a research team. • Attention to detail and ability to manage multiple projects simultaneously. Preferred Qualifications • Degree
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experience mentoring graduate students and contributing to the development of grant proposals • Research background spanning multiple emerging areas such as AI/ML for communication systems, age of information
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sensitivity genomic tools for the characterization of measurable residual disease (MRD) in patients with AML to predict and prevent relapse. This work includes multiple governmental and private sector