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Field
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are seeking a highly motivated Postdoctoral Research Fellow to lead innovative projects at the intersection of Modern AI, Computer Graphics, and VR/AR/XRd Human-Computer Interaction. This role focuses
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develop and become more severe, and as they improve with treatment conditions. These studies aim to provide the rationale for development of neuromodulatory approaches designed to reshape network activity
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ferroelectric memory, photonic integrated circuits and next-generation telecommunications. You'll work at the exciting intersection of experimental materials science and materials informatics, collaborating in
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computational approaches — from coarse-grained elastic network models (ANM/GNM) to atomistic and enhanced-sampling molecular dynamics and machine learning/AI methods — to understand how biomolecules achieve
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the goal of improving human health. Aligned with Rutgers University–New Brunswick and collaborating university wide, RBHS includes eight schools, a behavioral health network, and six centers and institutes
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experiments, DNP-enhanced approaches for natural-abundance oxygen-17 and nitrogen-15 NMR spectroscopy, and the application of multidimensional correlation experiments to elucidate hydrogen-bonding networks and
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sciences to enable quantum computers, devices, and networked systems. It develops community applications, data assets, and technologies and provides assurance to build knowledge and impact in novel, crosscut
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based at Yale School of Medicine for 25 years. It is an international, collaborative network of epidemiologists, statisticians, pharmacoepidemiologists, and clinicians with an exceptional record
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the PI's research program. The scholar will also be encouraged to propose research that is interesting to them and demonstrate a certain level of independence in research endeavors. The postdoctoral
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and/or development of computational and methodological tools for network neuroscience. The candidate is expected to contribute to publications, collaborate with other lab members and external