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of the position is 1+1 (optional year if mutually desired), totaling up to a maximum of two calendar years. The candidate will conduct research and mentoring duties, in addition to optional teaching of one course
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undergraduate students in our experiential learning program. There will be opportunities to teach graduate or undergraduate courses. About Virginia Tech Dedicated to its motto, Ut Prosim (That I May Serve
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are an internationally recognized leader in distribution packaging research and innovation. Our state-of-the-art laboratory facilities include advanced testing equipment for vibration analysis, shock dynamics, compression
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or, preferably, scientific machine learning (SciML). • Conducting research related to the improvement of the hygrothermal properties of cross-laminated timber. Desing and perform testing and analysis crate
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collaboratively in interdisciplinary teams. Preferred Qualifications - Experience with stakeholder engagement or extension programming. - Familiarity with statistical software (e.g., SPSS) and qualitative analysis
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and whole-heart Langendorff perfusion or ECG telemetry. The project involves testing a novel hypothesis that structural integrity alone is sufficient to protect against arrhythmogenic conduction slowing
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ongoing projects to examine decision-making in health behaviors on which this position will be involved. The position is well suited for individuals interested in technology applications and behavioral
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communications (ISaC) to network design using O-RAN; from statistical learning theory to software defined radio (e.g., USRP) prototypes. The Bradley Department of Electrical and Computer Engineering has both
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the possibility of extension to a third year. The position involves research in collaboration with one or more members of the tenure-line Virginia Tech Math faculty and teaching one course per semester. The primary
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research project using cutting-edge approaches in whole-cell patch-clamp electrophysiology, in vivo calcium imaging, and animal behavioral tests. • Employ advanced neural circuit dissection methods (e.g