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shape regulated cell death (RCD) and modulate virus replication, with a focus on single- and multicellular 3D tissue-relevant systems. We are seeking a highly motivated, enthusiastic postdoc with hands
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malignancy. The project integrates mouse and iPSC models, CRISPR genome editing, molecular biology, flow cytometry, and single-cell multi-omics to dissect disease mechanisms. We are committed to mentoring
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systems. • Develop and implement predictive models for packaging performance using machine learning approaches and physics-based simulations. • Investigate logistics optimization strategies for packaging
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Methods: Physics-Informed Neural Networks (PINNs), operator learning, and neural surrogates; hybrid modeling combining governing equations, simulations, and data; uncertainty-aware learning
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Patients to teach and refine physical examination skills in which the Standardized Patient uses their own body as the model. Job Responsibilities: Responsibilities include simulating a patient case 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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research environments. • Experience in mission engineering, digital engineering, modeling and simulation, or systems engineering. • Experience supporting rapid prototyping or iterative capability development
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). The PhD must be awarded no more than four years prior to the appointment effective date so that the candidate has the VT required minimum of one year eligibility as a VT Postdoc. - Demonstrated experience
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models, analyzing and interpreting experimental data, preparing manuscripts and grant applications, and mentoring trainees within the laboratory. A major component of this position will involve mouse
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setup. Our group is currently developing GEANT4 simulations and making physics projections. Our goal is to improve the design of the SoLID muon detector and preparing a proposal for a dedicated experiment