42 computer-science-image-processing "EURAXESS" Postdoctoral positions at Virginia Tech
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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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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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that can be repurposed for viruses with pandemic potential. This includes working closely with computer scientists to utilize published “omics” datasets and machine learning approaches to identify FDA
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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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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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, 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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package and just one of the many things that make Virginia Tech a great place to work. • Research Support: Annual allowance for research-related expenses and conference travel • Resources: Computer and
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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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. Candidates will collaborate closely with interdisciplinary research groups advancing materials discovery through the convergence of computational chemistry, machine learning, and agentic science. This full
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microenvironment. The project will employ genetically engineered mouse and human glioma models, along with advanced imaging techniques, single-cell and spatial transcriptomics, and molecular biology approaches