42 post-doc-image-engineering-computer-vision Postdoctoral positions at Virginia Tech
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Engineering at Virginia Tech. The position focuses on conducting experimental and theoretical research in positioning, navigation, and timing (PNT), with particular emphasis on signal processing and receiver
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collaborators. Required Qualifications • PhD in neuroscience, physics, computer science, applied mathematics, biomedical engineering, or a related quantitative field. PhD awarded no more than four years prior
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· Ph.D. degree in Computer Science, Electrical and Computer Engineering, Computational Biology, Bioinformatics, Statistics, Mathematics, Biophysics, Physics, Chemistry, Biology or related fields. · PhD
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and collaborative researcher with expertise in engineering, materials science, or related computational fields to contribute to our research program focused on transport packaging optimization and
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Sciences, Geodesy, Physics, Mathematics, Computer Sciences, Civil & Environmental Engineering, or a related field. PhD awarded no more than four years prior to the effective date of appointment with a
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at Virginia Tech, where you will contribute to pioneering research at the intersection of computational materials science and machine learning. Required Qualifications - Ph.D. in Chemistry, Chemical Engineering
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, Engineering, Computer Science, Human–Computer Interaction, or a closely related field. Ph.D. or equivalent terminal degree must be awarded no more than four years prior to the effective date of appointment with
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project is highly collaborative and multidisciplinary involving virologists, computer scientists, and chemical engineers. The candidate, one of six new postdoctoral fellows to be hired within the newly NSF
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and life insurance, Virginia Tech offers employees a robust benefits program. This full range of benefits, services, and competitive salaries are an integral part of the university's total compensation
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. The labs are jointly pursuing projects probing the intersection of metabolism and computational neuroscience. We are seeking to integrate metabolic signals with canonical computational frameworks to further