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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 9 hours ago
Posting Description POSTDOCTORAL ASSOCIATE, DORKENWALD/FIETE LABS, McGovern Institute, (two openings) to conduct interdisiplinary research on the relationship between neural circuit structure and
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the dynamics of psychiatric symptoms and brain function. The postdoctoral scholar will have opportunities to work with multiple complementary datasets, including large-scale developmental neuroimaging cohorts
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structure, dynamics, and switching mechanisms at the nanoscale, including optical manipulation of polarization states. Design and execution of experiments demonstrating optical control of ferroelectric
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, the postdoctoral researcher will be responsible for contributing to the development of advanced methodologies for predicting crystal structures (CSP) based solely on their chemical composition and atomistic modeling
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days ago
: 265566 Vacancy ID: PDS003971 Position Summary/Description: The Miao Lab in the Computational Medicine Program and Department of Pharmacology at the University of North Carolina – Chapel Hill (https
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for you. We are looking for an ambitious, collaborative and structured person to join our team. In this role, you will take a leading position in advancing the material modelling of brain tissue. Your
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. Chemistry A European J2022, 28 (20). https://doi.org/10.1002/chem.202104302 . Cortijo M, Valentín-Pérez Á, Rosa P, Daugey N, Buffeteau T, Hillard EA. Resolution, structures, and vibrational circular dichroism
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tools (e.g., single-particle spectral function measured by the angle-resolved photoemission spectroscopy, dynamical spin structure factor measured by inelastic neutron scattering, or other tools like
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on simulating nanoalloy structures to create a database for materials characterization. The main tasks include running molecular dynamics and Monte Carlo simulations to model nanoalloys under various
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Computer Vision and Generative AI. The successful candidate will join a dynamic research environment and contribute to cutting-edge research at the intersection of computer vision, generative artificial