32 machine-learning-phd-in-denmark Postdoctoral positions at Virginia Tech in United-States
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of Engineering as well as the new Virginia Tech Institute for Advanced Computing (IAC) located in the Greater Washington, D.C. area. The position involves conducting research in signal processing, machine learning
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models and machine learning techniques for kinetic equations arising from plasma and neutron transport. The position will be based at Virginia Tech’s campus in Blacksburg, VA. The postdoc will have a
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. Preferred Qualifications • Experience with deep learning architectures applied to geophysical or environmental data. • Familiarity with physics-informed machine learning or hybrid modeling approaches
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for construction operations. The successful candidate will contribute to cutting-edge research in mixed reality (MR)-based simulation platforms, machine learning-based process optimization, and human-machine
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applicants from diverse backgrounds. The anticipated start date for this position would be in Spring 2026. Required Qualifications PhD in relevant field (microbiology, genomics, etc) Knowledge of virology and
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) in their application packet. Required Qualifications • PhD in Chemical Engineering, Biomedical Engineering, Materials Science and Engineering, Biological Sciences, Chemistry or related field. The PhD
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Qualifications - Ph.D. in a biological science such as cell biology, immunology, cancer biology, biochemistry, or related field. PhD must be awarded no more than four years prior to the effective date
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critical role in advancing computational materials science by developing and applying first-principles and machine learning methods, with a focus on interatomic potential development and large-scale
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datasets, machine learning, and experimental methods to investigate how the tumor microenvironment and gene regulatory factors control tumor metastasis cascade. By advancing our understanding of malignant
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opportunities. Required Qualifications • Ph.D. in neuroscience or related discipline. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility