36 data-science-"https:"-"https:"-"Data-driven-Materials-Modeling" Postdoctoral positions at Virginia Tech
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relevant reaction and regeneration environments. This position is well suited for candidates with strong expertise in reactor engineering, spectroscopic techniques, and data analysis who are interested in
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-learning methods, knowledge-graph and ontology-based scientific data infrastructures, and agentic workflows for autonomous hypothesis generation, mechanistic exploration, and design of catalytic systems
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Job Description A postdoctoral associate position in the area of organoid design and single-cell methodologies is available in the Department of Chemical Engineering, Virginia Tech (Blacksburg, VA
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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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and security challenges, build sustainable solutions, and provide expert perspective on using AI. Required Qualifications - PhD in computer science, statistics, data analytics, business administration
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disorders. We will establish a program for deeply characterizing the biology and information processing changes of affected individuals and their response to different treatments. Research Techniques will
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design, molecular laboratory work, bioinformatic analyses, data interpretation, and the preparation of peer-reviewed publications. The candidate will be expected to lead first-author publications and
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Department of Electrical and Computer Engineering. The Postdoc will particularly participate in the design and development of integrated system-on-chips for wireless sensing, communication, and implantable
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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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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