42 image-processing-and-machine-learning "UCL" Postdoctoral positions at Virginia Tech
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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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aims to understand the metabolic and neural mechanisms of food choice and specifically how modern, ultra-processed foods influence these systems. Lab website: https://fbri.vtc.vt.edu/research/labs
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cardiovascular physiology and cardiac disease modeling, including small-animal cardiac surgery models such as transverse aortic constriction (TAC), myocardial infarction (MI), and related models of cardiac stress
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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
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. Responsibilities: • Design and conduct experimental research on paper-based materials for food packaging applications. • Develop predictive models for packaging performance using machine learning and physicochemical
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in areas related to quantum information theory, quantum error correction, and machine learning. The position will start in fall 2026 and will be for two years, with a possible 1-year extension pending
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, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees
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pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise
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information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or
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orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants