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Field
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or more of the following: Experience with large-scale molecular dynamics (MD) simulations using software such as LAMMPS. Experience in handling and data analysis generated from multi-million to multi
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reactions on well-defined surfaces under ultrahigh vacuum conditions using scanning tunneling microscopy and advanced spectroscopic techniques. The successful Candidate will contribute to a project funded by
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and engineering staff on computing architecture, including networking, data pipeline design and storage; data analysis and data collection software; and machine learning research Collaborate with other
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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 that focus
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quantum systems, dynamics, and non-equilibrium phenomena. Experience in computational tensor network techniques as well as background in quantum information science defined broadly is viewed favorably
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. Receiving mentorship in grant writing and navigating the publication process. Participating in career development activities through Cornell's mentoring resources and professional network. Overall
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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conducting user studies and handling IRBs. 4. Describe any relevant hands-on implementations skills pertaining to hardware, software, fabrication, and/or textile skills. 5. Elaborate on potential future
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dementias. The ultimate goal of the NGI is to understand the biology of these diseases, to define novel biomarkers, and to identify novel therapeutic targets. WashU Medicine is renowned for its research
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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 five centers and institutes