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environment at the University of Oxford. The programme integrates patient stratification using cerebrospinal fluid biomarkers, patient-derived induced pluripotent stem cell (iPSC) models, and pharmacological
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supports the research on energy security and resilience of the power grid at the Energy Department (DOE) through advancement of modeling, simulation, and real-time monitoring of the power grid, including
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will lead the technical development and integration of bottom-up, organisation-level decarbonisation models for energy-intensive industrial sectors, with a particular emphasis on Chemicals, Steel, and
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upon extraction and processing technologies that have reduced energy requirements and lower environmental impacts. Recent work has confirmed that LiVS are the result of the explosive eruption of Li-rich
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
. Experience in Epigenetics and single-cell omics background. Preferred Qualifications, Competencies, and Experience The ideal candidate will have experience and interest in cellular and/or animal models of SIV
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
. Experience in Epigenetics and single-cell omics background. Preferred Qualifications, Competencies, and Experience The ideal candidate will have experience and interest in cellular and/or animal models of SIV
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Assistant professor (post-doc) at the Laboratory of Nuclear Proteins at the Faculty of Biotechnology
of muscular dystrophy using iPSCs-based in vitro model, transcriptomics and biochemistry and molecular biology methods. www.ncn.gov.pl/sites/default/files/listy-rankingowe/2021-09-15okipi34a/streszczenia/536263
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Centers: Stanford Institute for Materials and Energy Sciences (SIMES) Postdoc Appointment Term: Two years Appointment Start Date: July 1, 2026 Group or Departmental Website: https
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) of the models with many competing energy scales originating from spin, charge, and orbital degrees of freedom, i.e., to investigate multi-orbital Hubbard model, generalized Kondo-Heisenberg model, spin-orbital
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modeling approaches-including machine learning (ML), hydrologic and energy systems simulations, and scenario forecasting-to evaluate dynamic energy-water futures and resilience strategies for diverse Idaho