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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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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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software development, and preparing papers, presentations, and reports. Preferred Qualifications: Demonstrated deep knowledge and experience in magnetic resonance imaging. Demonstrated experience in C
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FWO-UGent funded bioinformatics postdocs: Unveiling the significance of gene loss in plant evolution
loss patterns across diverse plant lineages Explore graph-based algorithms for multiple genome alignment and ancestral karyotype reconstruction Position 2: Evolutionary Analysis and Network
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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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for publication in high-impact journals and conferences; Create, maintain, and document high-quality research code for reproducibility; and Collaborate with scientists within the NYU Global Network and in Abu Dhabi
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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 that focus
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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
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international networking, and experience of academic and societal interaction. The position is full time and funded up to 2 years 6 months. The salary is defined in accordance with the University salary system
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thereafter. The successful applicant will have a record of excellence in research, high quality contributions in top-ranked journals, with interests strongly aligned with the MESH Lab. Our lab is committed